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diff --git a/cachedir/joblib/run/InitializeFirstStageCM/4d92e132aff76d1fab2a2901e200dcca/metadata.json b/cachedir/joblib/run/InitializeFirstStageCM/4d92e132aff76d1fab2a2901e200dcca/metadata.json
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index 0000000..525d7f9
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+++ b/cachedir/joblib/run/InitializeFirstStageCM/4d92e132aff76d1fab2a2901e200dcca/metadata.json
@@ -0,0 +1 @@
+{"duration": 5.343116044998169, "input_args": {"RemainingIds": "['KNN0', 'KNN1', 'KNN2', 'KNN3', 'KNN4', 'KNN5', 'KNN6', 'KNN7', 'KNN8', 'KNN9', 'KNN10', 'KNN11', 'KNN12', 'KNN13', 'KNN14', 'KNN15', 'KNN16', 'KNN17', 'KNN18', 'KNN19', 'KNN20', 'KNN21', 'KNN22', 'KNN23', 'KNN24', 'KNN25', 'KNN26', 'KNN27', 'KNN28', 'KNN29', 'KNN30', 'KNN31', 'KNN32', 'KNN33', 'KNN34', 'KNN35', 'KNN36', 'KNN37', 'KNN38', 'KNN39', 'KNN40', 'KNN41', 'KNN42', 'KNN43', 'KNN44', 'KNN45', 'KNN46', 'KNN47', 'KNN48', 'KNN49', 'KNN50', 'KNN51', 'KNN52', 'KNN53', 'KNN54', 'KNN55', 'KNN56', 'KNN57', 'KNN58', 'KNN59', 'KNN60', 'KNN61', 'KNN62', 'KNN63', 'KNN64', 'KNN65', 'KNN66', 'KNN67', 'KNN68', 'KNN69', 'KNN70', 'KNN71', 'KNN72', 'KNN73', 'KNN74', 'KNN75', 'KNN76', 'KNN77', 'KNN78', 'KNN79', 'KNN80', 'KNN81', 'KNN82', 'KNN83', 'KNN84', 'KNN85', 'KNN86', 'KNN87', 'KNN88', 'KNN89', 'KNN90', 'KNN91', 'KNN92', 'KNN93', 'KNN94', 'KNN95', 'KNN96', 'KNN97', 'KNN98', 'KNN99', 'LR100', 'LR101', 'LR102', 'LR103', 'LR104', 'LR105', 'LR106', 'LR107', 'LR108', 'LR109', 'LR110', 'LR111', 'LR112', 'LR113', 'LR114', 'LR115', 'LR116', 'LR117', 'LR118', 'LR119', 'LR120', 'LR121', 'LR122', 'LR123', 'LR124', 'LR125', 'LR126', 'LR127', 'LR128', 'LR129', 'LR130', 'LR131', 'LR132', 'LR133', 'LR134', 'LR135', 'LR136', 'LR137', 'LR138', 'LR139', 'LR140', 'LR141', 'LR142', 'LR143', 'LR144', 'LR145', 'LR146', 'LR147', 'LR148', 'LR149', 'LR150', 'LR151', 'LR152', 'LR153', 'LR154', 'LR155', 'LR156', 'LR157', 'LR158', 'LR159', 'LR160', 'LR161', 'LR162', 'LR163', 'LR164', 'LR165', 'LR166', 'LR167', 'LR168', 'LR169', 'LR170', 'LR171', 'LR172', 'LR173', 'LR174', 'LR175', 'LR176', 'LR177', 'LR178', 'LR179', 'LR180', 'LR181', 'LR182', 'LR183', 'LR184', 'LR185', 'LR186', 'LR187', 'LR188', 'LR189', 'LR190', 'LR191', 'LR192', 'LR193', 'LR194', 'LR195', 'LR196', 'LR197', 'LR198', 'LR199', 'MLP200', 'MLP201', 'MLP202', 'MLP203', 'MLP204', 'MLP205', 'MLP206', 'MLP207', 'MLP208', 'MLP209', 'MLP210', 'MLP211', 'MLP212', 'MLP213', 'MLP214', 'MLP215', 'MLP216', 'MLP217', 'MLP218', 'MLP219', 'MLP220', 'MLP221', 'MLP222', 'MLP223', 'MLP224', 'MLP225', 'MLP226', 'MLP227', 'MLP228', 'MLP229', 'MLP230', 'MLP231', 'MLP232', 'MLP233', 'MLP234', 'MLP235', 'MLP236', 'MLP237', 'MLP238', 'MLP239', 'MLP240', 'MLP241', 'MLP242', 'MLP243', 'MLP244', 'MLP245', 'MLP246', 'MLP247', 'MLP248', 'MLP249', 'MLP250', 'MLP251', 'MLP252', 'MLP253', 'MLP254', 'MLP255', 'MLP256', 'MLP257', 'MLP258', 'MLP259', 'MLP260', 'MLP261', 'MLP262', 'MLP263', 'MLP264', 'MLP265', 'MLP266', 'MLP267', 'MLP268', 'MLP269', 'MLP270', 'MLP271', 'MLP272', 'MLP273', 'MLP274', 'MLP275', 'MLP276', 'MLP277', 'MLP278', 'MLP279', 'MLP280', 'MLP281', 'MLP282', 'MLP283', 'MLP284', 'MLP285', 'MLP286', 'MLP287', 'MLP288', 'MLP289', 'MLP290', 'MLP291', 'MLP292', 'MLP293', 'MLP294', 'MLP295', 'MLP296', 'MLP297', 'MLP298', 'MLP299', 'RF300', 'RF302', 'RF303', 'RF304', 'RF305', 'RF306', 'RF307', 'RF308', 'RF309', 'RF310', 'RF311', 'RF312', 'RF313', 'RF314', 'RF315', 'RF316', 'RF317', 'RF318', 'RF319', 'RF320', 'RF321', 'RF322', 'RF323', 'RF324', 'RF325', 'RF326', 'RF327', 'RF328', 'RF329', 'RF330', 'RF331', 'RF332', 'RF333', 'RF334', 'RF335', 'RF336', 'RF337', 'RF338', 'RF339', 'RF340', 'RF341', 'RF342', 'RF343', 'RF344', 'RF345', 'RF346', 'RF347', 'RF348', 'RF349', 'RF350', 'RF351', 'RF352', 'RF353', 'RF354', 'RF355', 'RF356', 'RF358', 'RF359', 'RF360', 'RF361', 'RF362', 'RF363', 'RF364', 'RF365', 'RF366', 'RF367', 'RF368', 'RF369', 'RF370', 'RF371', 'RF372', 'RF373', 'RF375', 'RF376', 'RF377', 'RF378', 'RF379', 'RF380', 'RF381', 'RF383', 'RF385', 'RF386', 'RF387', 'RF388', 'RF389', 'RF390', 'RF391', 'RF392', 'RF393', 'RF394', 'RF395', 'RF396', 'RF397', 'RF398', 'RF399', 'GradB400', 'GradB401', 'GradB402', 'GradB403', 'GradB404', 'GradB405', 'GradB406', 'GradB407', 'GradB408', 'GradB409', 'GradB410', 'GradB411', 'GradB412', 'GradB413', 'GradB414', 'GradB415', 'GradB416', 'GradB417', 'GradB418', 'GradB419', 'GradB420', 'GradB421', 'GradB422', 'GradB423', 'GradB424', 'GradB425', 'GradB426', 'GradB427', 'GradB428', 'GradB429', 'GradB430', 'GradB431', 'GradB432', 'GradB433', 'GradB434', 'GradB435', 'GradB436', 'GradB437', 'GradB438', 'GradB439', 'GradB440', 'GradB441', 'GradB442', 'GradB443', 'GradB444', 'GradB445', 'GradB446', 'GradB447', 'GradB448', 'GradB449', 'GradB450', 'GradB451', 'GradB452', 'GradB453', 'GradB454', 'GradB455', 'GradB456', 'GradB457', 'GradB458', 'GradB459', 'GradB460', 'GradB461', 'GradB462', 'GradB463', 'GradB464', 'GradB465', 'GradB466', 'GradB467', 'GradB468', 'GradB469', 'GradB470', 'GradB471', 'GradB472', 'GradB473', 'GradB474', 'GradB475', 'GradB476', 'GradB477', 'GradB478', 'GradB479', 'GradB480', 'GradB481', 'GradB482', 'GradB483', 'GradB484', 'GradB485', 'GradB486', 'GradB487', 'GradB488', 'GradB489', 'GradB490', 'GradB491', 'GradB492', 'GradB493', 'GradB494', 'GradB495', 'GradB496', 'GradB497', 'GradB498', 'GradB499']", "setMaxLoopValue": "[0, 0, 0, 0, 0, 0, 5, 5, 5, 5, 5, 0, 5, 5, 5, 5, 5, 0]"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/InitializeFirstStageCM/4d92e132aff76d1fab2a2901e200dcca/output.pkl b/cachedir/joblib/run/InitializeFirstStageCM/4d92e132aff76d1fab2a2901e200dcca/output.pkl
new file mode 100644
index 0000000..76b1d12
Binary files /dev/null and b/cachedir/joblib/run/InitializeFirstStageCM/4d92e132aff76d1fab2a2901e200dcca/output.pkl differ
diff --git a/cachedir/joblib/run/InitializeFirstStageCM/func_code.py b/cachedir/joblib/run/InitializeFirstStageCM/func_code.py
new file mode 100644
index 0000000..90dbd0e
--- /dev/null
+++ b/cachedir/joblib/run/InitializeFirstStageCM/func_code.py
@@ -0,0 +1,572 @@
+# first line: 1312
+@memory.cache
+def InitializeFirstStageCM (RemainingIds, setMaxLoopValue):
+    random.seed(RANDOM_SEED)
+    
+    global XData
+    global yData
+    global addKNN
+    global addLR
+    global addMLP
+    global addRF
+    global addGradB
+    global countAllModels
+
+    # loop through the algorithms
+    global allParametersPerfCrossMutr
+    global HistoryPreservation
+
+    global randomSearchVar
+    greater = randomSearchVar*5
+
+    KNNIDs = list(filter(lambda k: 'KNN' in k, RemainingIds))
+    LRIDs = list(filter(lambda k: 'LR' in k, RemainingIds))
+    MLPIDs = list(filter(lambda k: 'MLP' in k, RemainingIds))
+    RFIDs = list(filter(lambda k: 'RF' in k, RemainingIds))
+    GradBIDs = list(filter(lambda k: 'GradB' in k, RemainingIds))
+
+    countKNN = 0
+    countLR = 0
+    countMLP = 0
+    countRF = 0
+    countGradB = 0
+    paramAllAlgs = PreprocessingParam()
+
+    KNNIntIndex = []
+    LRIntIndex = []
+    MLPIntIndex = []
+    RFIntIndex = []
+    GradBIntIndex = []
+    
+    localCrossMutr = []
+    allParametersPerfCrossMutrKNNC = []
+
+    while countKNN < setMaxLoopValue[16]:
+        for dr in KNNIDs:
+            if (int(re.findall('\d+', dr)[0]) >= greater):
+                KNNIntIndex.append(int(re.findall('\d+', dr)[0])-addKNN)
+            else:
+                KNNIntIndex.append(int(re.findall('\d+', dr)[0]))
+        KNNPickPair = random.sample(KNNIntIndex,2)
+        pairDF = paramAllAlgs.iloc[KNNPickPair]
+        crossoverDF = pd.DataFrame()
+        for column in pairDF:
+            listData = []
+            randomZeroOne = random.randint(0, 1)
+            valuePerColumn = pairDF[column].iloc[randomZeroOne]
+            listData.append(valuePerColumn)
+            crossoverDF[column] = listData
+        if (((paramAllAlgs['algorithm'] == crossoverDF['algorithm'].iloc[0]) & (paramAllAlgs['metric'] == crossoverDF['metric'].iloc[0]) & (paramAllAlgs['n_neighbors'] == crossoverDF['n_neighbors'].iloc[0]) & (paramAllAlgs['weights'] == crossoverDF['weights'].iloc[0])).any()):
+            crossoverDF = pd.DataFrame()
+        else:
+            clf = KNeighborsClassifier()
+            params = {'n_neighbors': [crossoverDF['n_neighbors'].iloc[0]], 'metric': [crossoverDF['metric'].iloc[0]], 'algorithm': [crossoverDF['algorithm'].iloc[0]], 'weights': [crossoverDF['weights'].iloc[0]]}
+            AlgorithmsIDsEnd = countAllModels + countKNN
+            localCrossMutr = crossoverMutation(XData, yData, clf, params, 'KNN_C', AlgorithmsIDsEnd)
+            countKNN += 1
+            crossoverDF = pd.DataFrame()
+
+    countAllModels = countAllModels + setMaxLoopValue[16]
+
+    for loop in range(setMaxLoopValue[16] - 1):
+        localCrossMutr[0] = localCrossMutr[0] + localCrossMutr[(loop+1)*4]
+        localCrossMutr[1] = pd.concat([localCrossMutr[1], localCrossMutr[(loop+1)*4+1]], ignore_index=True)
+        localCrossMutr[2] = pd.concat([localCrossMutr[2], localCrossMutr[(loop+1)*4+2]], ignore_index=True)
+        localCrossMutr[3] = pd.concat([localCrossMutr[3], localCrossMutr[(loop+1)*4+3]], ignore_index=True)
+
+    allParametersPerfCrossMutrKNNC.append(localCrossMutr[0])
+    allParametersPerfCrossMutrKNNC.append(localCrossMutr[1])
+    allParametersPerfCrossMutrKNNC.append(localCrossMutr[2])
+    allParametersPerfCrossMutrKNNC.append(localCrossMutr[3])
+
+    HistoryPreservation = HistoryPreservation + allParametersPerfCrossMutrKNNC
+
+    countKNN = 0
+    KNNIntIndex = []
+    localCrossMutr.clear()
+    allParametersPerfCrossMutrKNNM = []
+
+    while countKNN < setMaxLoopValue[10]:
+        for dr in KNNIDs:
+            if (int(re.findall('\d+', dr)[0]) >= greater):
+                KNNIntIndex.append(int(re.findall('\d+', dr)[0])-addKNN)
+            else:
+                KNNIntIndex.append(int(re.findall('\d+', dr)[0]))
+        KNNPickPair = random.sample(KNNIntIndex,1)
+
+        pairDF = paramAllAlgs.iloc[KNNPickPair]
+        crossoverDF = pd.DataFrame()
+        for column in pairDF:
+            listData = []
+            if (column == 'n_neighbors'):
+                randomNumber = random.randint(101, math.floor(((len(yData)/crossValidation)*(crossValidation-1)))-1)
+                listData.append(randomNumber)
+                crossoverDF[column] = listData
+            else:
+                valuePerColumn = pairDF[column].iloc[0]
+                listData.append(valuePerColumn)
+                crossoverDF[column] = listData
+        if (((paramAllAlgs['algorithm'] == crossoverDF['algorithm'].iloc[0]) & (paramAllAlgs['metric'] == crossoverDF['metric'].iloc[0]) & (paramAllAlgs['n_neighbors'] == crossoverDF['n_neighbors'].iloc[0]) & (paramAllAlgs['weights'] == crossoverDF['weights'].iloc[0])).any()):
+            crossoverDF = pd.DataFrame()
+        else:
+            clf = KNeighborsClassifier()
+            params = {'n_neighbors': [crossoverDF['n_neighbors'].iloc[0]], 'metric': [crossoverDF['metric'].iloc[0]], 'algorithm': [crossoverDF['algorithm'].iloc[0]], 'weights': [crossoverDF['weights'].iloc[0]]}
+            AlgorithmsIDsEnd = countAllModels + countKNN
+            localCrossMutr = crossoverMutation(XData, yData, clf, params, 'KNN_M', AlgorithmsIDsEnd)
+            countKNN += 1
+            crossoverDF = pd.DataFrame()
+
+    countAllModels = countAllModels + setMaxLoopValue[10]
+
+    for loop in range(setMaxLoopValue[10] - 1):
+        localCrossMutr[0] = localCrossMutr[0] + localCrossMutr[(loop+1)*4]
+        localCrossMutr[1] = pd.concat([localCrossMutr[1], localCrossMutr[(loop+1)*4+1]], ignore_index=True)
+        localCrossMutr[2] = pd.concat([localCrossMutr[2], localCrossMutr[(loop+1)*4+2]], ignore_index=True)
+        localCrossMutr[3] = pd.concat([localCrossMutr[3], localCrossMutr[(loop+1)*4+3]], ignore_index=True)
+
+    allParametersPerfCrossMutrKNNM.append(localCrossMutr[0])
+    allParametersPerfCrossMutrKNNM.append(localCrossMutr[1])
+    allParametersPerfCrossMutrKNNM.append(localCrossMutr[2])
+    allParametersPerfCrossMutrKNNM.append(localCrossMutr[3])
+
+    HistoryPreservation = HistoryPreservation + allParametersPerfCrossMutrKNNM
+
+    localCrossMutr.clear()
+    allParametersPerfCrossMutrLRC = []
+
+    while countLR < setMaxLoopValue[15]:
+        for dr in LRIDs:
+            if (int(re.findall('\d+', dr)[0]) >= greater):
+                LRIntIndex.append(int(re.findall('\d+', dr)[0])-(addKNN-randomSearchVar))
+            else:
+                LRIntIndex.append(int(re.findall('\d+', dr)[0]))
+        LRPickPair = random.sample(LRIntIndex,2)
+        pairDF = paramAllAlgs.iloc[LRPickPair]
+        crossoverDF = pd.DataFrame()
+        for column in pairDF:
+            listData = []
+            randomZeroOne = random.randint(0, 1)
+            valuePerColumn = pairDF[column].iloc[randomZeroOne]
+            listData.append(valuePerColumn)
+            crossoverDF[column] = listData
+        if (((paramAllAlgs['C'] == crossoverDF['C'].iloc[0]) & (paramAllAlgs['max_iter'] == crossoverDF['max_iter'].iloc[0]) & (paramAllAlgs['solver'] == crossoverDF['solver'].iloc[0]) & (paramAllAlgs['penalty'] == crossoverDF['penalty'].iloc[0])).any()):
+            crossoverDF = pd.DataFrame()
+        else:
+            clf = LogisticRegression(random_state=RANDOM_SEED)
+            params = {'C': [crossoverDF['C'].iloc[0]], 'max_iter': [crossoverDF['max_iter'].iloc[0]], 'solver': [crossoverDF['solver'].iloc[0]], 'penalty': [crossoverDF['penalty'].iloc[0]]}
+            AlgorithmsIDsEnd = countAllModels + countLR
+            localCrossMutr = crossoverMutation(XData, yData, clf, params, 'LR_C', AlgorithmsIDsEnd)
+            countLR += 1
+            crossoverDF = pd.DataFrame()
+
+    countAllModels = countAllModels + setMaxLoopValue[15]
+
+    for loop in range(setMaxLoopValue[15] - 1):
+        localCrossMutr[0] = localCrossMutr[0] + localCrossMutr[(loop+1)*4]
+        localCrossMutr[1] = pd.concat([localCrossMutr[1], localCrossMutr[(loop+1)*4+1]], ignore_index=True)
+        localCrossMutr[2] = pd.concat([localCrossMutr[2], localCrossMutr[(loop+1)*4+2]], ignore_index=True)
+        localCrossMutr[3] = pd.concat([localCrossMutr[3], localCrossMutr[(loop+1)*4+3]], ignore_index=True)
+
+    allParametersPerfCrossMutrLRC.append(localCrossMutr[0])
+    allParametersPerfCrossMutrLRC.append(localCrossMutr[1])
+    allParametersPerfCrossMutrLRC.append(localCrossMutr[2])
+    allParametersPerfCrossMutrLRC.append(localCrossMutr[3])
+
+    HistoryPreservation = HistoryPreservation + allParametersPerfCrossMutrLRC
+
+    countLR = 0
+    LRIntIndex = [] 
+    localCrossMutr.clear()
+    allParametersPerfCrossMutrLRM = []
+
+    while countLR < setMaxLoopValue[9]:
+        for dr in LRIDs:
+            if (int(re.findall('\d+', dr)[0]) >= greater):
+                LRIntIndex.append(int(re.findall('\d+', dr)[0])-(addKNN-randomSearchVar))
+            else:
+                LRIntIndex.append(int(re.findall('\d+', dr)[0]))
+        LRPickPair = random.sample(LRIntIndex,1)
+
+        pairDF = paramAllAlgs.iloc[LRPickPair]
+        crossoverDF = pd.DataFrame()
+        for column in pairDF:
+            listData = []
+            if (column == 'C'):
+                randomNumber = random.randint(101, 1000)
+                listData.append(randomNumber)
+                crossoverDF[column] = listData
+            else:
+                valuePerColumn = pairDF[column].iloc[0]
+                listData.append(valuePerColumn)
+                crossoverDF[column] = listData
+        if (((paramAllAlgs['C'] == crossoverDF['C'].iloc[0]) & (paramAllAlgs['max_iter'] == crossoverDF['max_iter'].iloc[0]) & (paramAllAlgs['solver'] == crossoverDF['solver'].iloc[0]) & (paramAllAlgs['penalty'] == crossoverDF['penalty'].iloc[0])).any()):
+            crossoverDF = pd.DataFrame()
+        else:
+            clf = LogisticRegression(random_state=RANDOM_SEED)
+            params = {'C': [crossoverDF['C'].iloc[0]], 'max_iter': [crossoverDF['max_iter'].iloc[0]], 'solver': [crossoverDF['solver'].iloc[0]], 'penalty': [crossoverDF['penalty'].iloc[0]]}
+            AlgorithmsIDsEnd = countAllModels + countLR
+            localCrossMutr = crossoverMutation(XData, yData, clf, params, 'LR_M', AlgorithmsIDsEnd)
+            countLR += 1
+            crossoverDF = pd.DataFrame()
+
+    countAllModels = countAllModels + setMaxLoopValue[9]
+
+    for loop in range(setMaxLoopValue[9] - 1):
+        localCrossMutr[0] = localCrossMutr[0] + localCrossMutr[(loop+1)*4]
+        localCrossMutr[1] = pd.concat([localCrossMutr[1], localCrossMutr[(loop+1)*4+1]], ignore_index=True)
+        localCrossMutr[2] = pd.concat([localCrossMutr[2], localCrossMutr[(loop+1)*4+2]], ignore_index=True)
+        localCrossMutr[3] = pd.concat([localCrossMutr[3], localCrossMutr[(loop+1)*4+3]], ignore_index=True)
+
+    allParametersPerfCrossMutrLRM.append(localCrossMutr[0])
+    allParametersPerfCrossMutrLRM.append(localCrossMutr[1])
+    allParametersPerfCrossMutrLRM.append(localCrossMutr[2])
+    allParametersPerfCrossMutrLRM.append(localCrossMutr[3])
+
+    HistoryPreservation = HistoryPreservation + allParametersPerfCrossMutrLRM
+    
+    localCrossMutr.clear()
+    allParametersPerfCrossMutrMLPC = []
+
+    while countMLP < setMaxLoopValue[14]:
+        for dr in MLPIDs:
+            if (int(re.findall('\d+', dr)[0]) >= greater):
+                MLPIntIndex.append(int(re.findall('\d+', dr)[0])-(addKNN-randomSearchVar*2))
+            else:
+                MLPIntIndex.append(int(re.findall('\d+', dr)[0]))
+        MLPPickPair = random.sample(MLPIntIndex,2)
+
+        pairDF = paramAllAlgs.iloc[MLPPickPair]
+        crossoverDF = pd.DataFrame()
+        for column in pairDF:
+            listData = []
+            randomZeroOne = random.randint(0, 1)
+            valuePerColumn = pairDF[column].iloc[randomZeroOne]
+            listData.append(valuePerColumn)
+            crossoverDF[column] = listData
+        if (((paramAllAlgs['hidden_layer_sizes'] == crossoverDF['hidden_layer_sizes'].iloc[0]) & (paramAllAlgs['alpha'] == crossoverDF['alpha'].iloc[0]) & (paramAllAlgs['tol'] == crossoverDF['tol'].iloc[0]) & (paramAllAlgs['max_iter'] == crossoverDF['max_iter'].iloc[0]) & (paramAllAlgs['activation'] == crossoverDF['activation'].iloc[0]) & (paramAllAlgs['solver'] == crossoverDF['solver'].iloc[0])).any()):
+            crossoverDF = pd.DataFrame()
+        else:
+            clf = MLPClassifier(random_state=RANDOM_SEED)
+            params = {'hidden_layer_sizes': [crossoverDF['hidden_layer_sizes'].iloc[0]], 'alpha': [crossoverDF['alpha'].iloc[0]], 'tol': [crossoverDF['tol'].iloc[0]], 'max_iter': [crossoverDF['max_iter'].iloc[0]], 'activation': [crossoverDF['activation'].iloc[0]], 'solver': [crossoverDF['solver'].iloc[0]]}
+            AlgorithmsIDsEnd = countAllModels + countMLP
+            localCrossMutr = crossoverMutation(XData, yData, clf, params, 'MLP_C', AlgorithmsIDsEnd)
+            countMLP += 1
+            crossoverDF = pd.DataFrame()
+
+    countAllModels = countAllModels + setMaxLoopValue[14]
+
+    for loop in range(setMaxLoopValue[14] - 1):
+        localCrossMutr[0] = localCrossMutr[0] + localCrossMutr[(loop+1)*4]
+        localCrossMutr[1] = pd.concat([localCrossMutr[1], localCrossMutr[(loop+1)*4+1]], ignore_index=True)
+        localCrossMutr[2] = pd.concat([localCrossMutr[2], localCrossMutr[(loop+1)*4+2]], ignore_index=True)
+        localCrossMutr[3] = pd.concat([localCrossMutr[3], localCrossMutr[(loop+1)*4+3]], ignore_index=True)
+
+    allParametersPerfCrossMutrMLPC.append(localCrossMutr[0])
+    allParametersPerfCrossMutrMLPC.append(localCrossMutr[1])
+    allParametersPerfCrossMutrMLPC.append(localCrossMutr[2])
+    allParametersPerfCrossMutrMLPC.append(localCrossMutr[3])
+
+    HistoryPreservation = HistoryPreservation + allParametersPerfCrossMutrMLPC
+
+    countMLP = 0
+    MLPIntIndex = [] 
+    localCrossMutr.clear()
+    allParametersPerfCrossMutrMLPM = []
+
+    while countMLP < setMaxLoopValue[8]:
+        for dr in MLPIDs:
+            if (int(re.findall('\d+', dr)[0]) >= greater):
+                MLPIntIndex.append(int(re.findall('\d+', dr)[0])-(addKNN-randomSearchVar*2))
+            else:
+                MLPIntIndex.append(int(re.findall('\d+', dr)[0]))
+        MLPPickPair = random.sample(MLPIntIndex,1)
+
+        pairDF = paramAllAlgs.iloc[MLPPickPair]
+        crossoverDF = pd.DataFrame()
+        for column in pairDF:
+            listData = []
+            if (column == 'hidden_layer_sizes'):
+                randomNumber = (random.randint(10,60), random.randint(4,10))
+                listData.append(randomNumber)
+                crossoverDF[column] = listData
+            else:
+                valuePerColumn = pairDF[column].iloc[0]
+                listData.append(valuePerColumn)
+                crossoverDF[column] = listData
+        if (((paramAllAlgs['hidden_layer_sizes'] == crossoverDF['hidden_layer_sizes'].iloc[0]) & (paramAllAlgs['alpha'] == crossoverDF['alpha'].iloc[0]) & (paramAllAlgs['tol'] == crossoverDF['tol'].iloc[0]) & (paramAllAlgs['max_iter'] == crossoverDF['max_iter'].iloc[0]) & (paramAllAlgs['activation'] == crossoverDF['activation'].iloc[0]) & (paramAllAlgs['solver'] == crossoverDF['solver'].iloc[0])).any()):
+            crossoverDF = pd.DataFrame()
+        else:
+            clf = MLPClassifier(random_state=RANDOM_SEED)
+            params = {'hidden_layer_sizes': [crossoverDF['hidden_layer_sizes'].iloc[0]], 'alpha': [crossoverDF['alpha'].iloc[0]], 'tol': [crossoverDF['tol'].iloc[0]], 'max_iter': [crossoverDF['max_iter'].iloc[0]], 'activation': [crossoverDF['activation'].iloc[0]], 'solver': [crossoverDF['solver'].iloc[0]]}
+            AlgorithmsIDsEnd = countAllModels + countMLP
+            localCrossMutr = crossoverMutation(XData, yData, clf, params, 'MLP_M', AlgorithmsIDsEnd)
+            countMLP += 1
+            crossoverDF = pd.DataFrame()
+
+    countAllModels = countAllModels + setMaxLoopValue[8]
+
+    for loop in range(setMaxLoopValue[8] - 1):
+        localCrossMutr[0] = localCrossMutr[0] + localCrossMutr[(loop+1)*4]
+        localCrossMutr[1] = pd.concat([localCrossMutr[1], localCrossMutr[(loop+1)*4+1]], ignore_index=True)
+        localCrossMutr[2] = pd.concat([localCrossMutr[2], localCrossMutr[(loop+1)*4+2]], ignore_index=True)
+        localCrossMutr[3] = pd.concat([localCrossMutr[3], localCrossMutr[(loop+1)*4+3]], ignore_index=True)
+
+    allParametersPerfCrossMutrMLPM.append(localCrossMutr[0])
+    allParametersPerfCrossMutrMLPM.append(localCrossMutr[1])
+    allParametersPerfCrossMutrMLPM.append(localCrossMutr[2])
+    allParametersPerfCrossMutrMLPM.append(localCrossMutr[3])
+
+    HistoryPreservation = HistoryPreservation + allParametersPerfCrossMutrMLPM
+
+    localCrossMutr.clear()
+    allParametersPerfCrossMutrRFC = []
+
+    while countRF < setMaxLoopValue[13]:
+        for dr in RFIDs:
+            if (int(re.findall('\d+', dr)[0]) >= greater):
+                RFIntIndex.append(int(re.findall('\d+', dr)[0])-(addKNN-randomSearchVar*3))
+            else:
+                RFIntIndex.append(int(re.findall('\d+', dr)[0]))
+        RFPickPair = random.sample(RFIntIndex,2)
+
+        pairDF = paramAllAlgs.iloc[RFPickPair]
+        crossoverDF = pd.DataFrame()
+        for column in pairDF:
+            listData = []
+            randomZeroOne = random.randint(0, 1)
+            valuePerColumn = pairDF[column].iloc[randomZeroOne]
+            listData.append(valuePerColumn)
+            crossoverDF[column] = listData
+        if (((paramAllAlgs['n_estimators'] == crossoverDF['n_estimators'].iloc[0]) & (paramAllAlgs['criterion'] == crossoverDF['criterion'].iloc[0])).any()):
+            crossoverDF = pd.DataFrame()
+        else:
+            clf = RandomForestClassifier(random_state=RANDOM_SEED)
+            params = {'n_estimators': [crossoverDF['n_estimators'].iloc[0]], 'criterion': [crossoverDF['criterion'].iloc[0]]}
+            AlgorithmsIDsEnd = countAllModels + countRF
+            localCrossMutr = crossoverMutation(XData, yData, clf, params, 'RF_C', AlgorithmsIDsEnd)
+            countRF += 1
+            crossoverDF = pd.DataFrame()
+
+    countAllModels = countAllModels + setMaxLoopValue[13]
+
+    for loop in range(setMaxLoopValue[13] - 1):
+        localCrossMutr[0] = localCrossMutr[0] + localCrossMutr[(loop+1)*4]
+        localCrossMutr[1] = pd.concat([localCrossMutr[1], localCrossMutr[(loop+1)*4+1]], ignore_index=True)
+        localCrossMutr[2] = pd.concat([localCrossMutr[2], localCrossMutr[(loop+1)*4+2]], ignore_index=True)
+        localCrossMutr[3] = pd.concat([localCrossMutr[3], localCrossMutr[(loop+1)*4+3]], ignore_index=True)
+
+    allParametersPerfCrossMutrRFC.append(localCrossMutr[0])
+    allParametersPerfCrossMutrRFC.append(localCrossMutr[1])
+    allParametersPerfCrossMutrRFC.append(localCrossMutr[2])
+    allParametersPerfCrossMutrRFC.append(localCrossMutr[3])
+
+    HistoryPreservation = HistoryPreservation + allParametersPerfCrossMutrRFC
+
+    countRF = 0
+    RFIntIndex = [] 
+    localCrossMutr.clear()
+    allParametersPerfCrossMutrRFM = []
+
+    while countRF < setMaxLoopValue[7]:
+        if (int(re.findall('\d+', dr)[0]) >= greater):
+            RFIntIndex.append(int(re.findall('\d+', dr)[0])-(addKNN-randomSearchVar*3))
+        else:
+            RFIntIndex.append(int(re.findall('\d+', dr)[0]))
+        RFPickPair = random.sample(RFIntIndex,1)
+
+        pairDF = paramAllAlgs.iloc[RFPickPair]
+        crossoverDF = pd.DataFrame()
+        for column in pairDF:
+            listData = []
+            if (column == 'n_estimators'):
+                randomNumber = random.randint(100, 200)
+                listData.append(randomNumber)
+                crossoverDF[column] = listData
+            else:
+                valuePerColumn = pairDF[column].iloc[0]
+                listData.append(valuePerColumn)
+                crossoverDF[column] = listData
+        if (((paramAllAlgs['n_estimators'] == crossoverDF['n_estimators'].iloc[0]) & (paramAllAlgs['criterion'] == crossoverDF['criterion'].iloc[0])).any()):
+            crossoverDF = pd.DataFrame()
+        else:
+            clf = RandomForestClassifier(random_state=RANDOM_SEED)
+            params = {'n_estimators': [crossoverDF['n_estimators'].iloc[0]], 'criterion': [crossoverDF['criterion'].iloc[0]]}
+            AlgorithmsIDsEnd = countAllModels + countRF
+            localCrossMutr = crossoverMutation(XData, yData, clf, params, 'RF_M', AlgorithmsIDsEnd)
+            countRF += 1
+            crossoverDF = pd.DataFrame()
+
+    countAllModels = countAllModels + setMaxLoopValue[7]
+
+    for loop in range(setMaxLoopValue[7] - 1):
+        localCrossMutr[0] = localCrossMutr[0] + localCrossMutr[(loop+1)*4]
+        localCrossMutr[1] = pd.concat([localCrossMutr[1], localCrossMutr[(loop+1)*4+1]], ignore_index=True)
+        localCrossMutr[2] = pd.concat([localCrossMutr[2], localCrossMutr[(loop+1)*4+2]], ignore_index=True)
+        localCrossMutr[3] = pd.concat([localCrossMutr[3], localCrossMutr[(loop+1)*4+3]], ignore_index=True)
+
+    allParametersPerfCrossMutrRFM.append(localCrossMutr[0])
+    allParametersPerfCrossMutrRFM.append(localCrossMutr[1])
+    allParametersPerfCrossMutrRFM.append(localCrossMutr[2])
+    allParametersPerfCrossMutrRFM.append(localCrossMutr[3])
+
+    HistoryPreservation = HistoryPreservation + allParametersPerfCrossMutrRFM
+
+    localCrossMutr.clear()
+    allParametersPerfCrossMutrGradBC = []
+
+    while countGradB < setMaxLoopValue[12]:
+        for dr in GradBIDs:
+            if (int(re.findall('\d+', dr)[0]) >= greater):
+                GradBIntIndex.append(int(re.findall('\d+', dr)[0])-(addKNN-randomSearchVar*4))
+            else:
+                GradBIntIndex.append(int(re.findall('\d+', dr)[0]))
+        GradBPickPair = random.sample(GradBIntIndex,2)
+
+        pairDF = paramAllAlgs.iloc[GradBPickPair]
+        crossoverDF = pd.DataFrame()
+        for column in pairDF:
+            listData = []
+            randomZeroOne = random.randint(0, 1)
+            valuePerColumn = pairDF[column].iloc[randomZeroOne]
+            listData.append(valuePerColumn)
+            crossoverDF[column] = listData
+        if (((paramAllAlgs['n_estimators'] == crossoverDF['n_estimators'].iloc[0]) & (paramAllAlgs['learning_rate'] == crossoverDF['learning_rate'].iloc[0]) & (paramAllAlgs['criterion'] == crossoverDF['criterion'].iloc[0])).any()):
+            crossoverDF = pd.DataFrame()
+        else:
+            clf = GradientBoostingClassifier(random_state=RANDOM_SEED)
+            params = {'n_estimators': [crossoverDF['n_estimators'].iloc[0]], 'learning_rate': [crossoverDF['learning_rate'].iloc[0]], 'criterion': [crossoverDF['criterion'].iloc[0]]}
+            AlgorithmsIDsEnd = countAllModels + countGradB
+            localCrossMutr = crossoverMutation(XData, yData, clf, params, 'GradB_C', AlgorithmsIDsEnd)
+            countGradB += 1
+            crossoverDF = pd.DataFrame()
+
+    countAllModels = countAllModels + setMaxLoopValue[12]
+
+    for loop in range(setMaxLoopValue[12] - 1):
+        localCrossMutr[0] = localCrossMutr[0] + localCrossMutr[(loop+1)*4]
+        localCrossMutr[1] = pd.concat([localCrossMutr[1], localCrossMutr[(loop+1)*4+1]], ignore_index=True)
+        localCrossMutr[2] = pd.concat([localCrossMutr[2], localCrossMutr[(loop+1)*4+2]], ignore_index=True)
+        localCrossMutr[3] = pd.concat([localCrossMutr[3], localCrossMutr[(loop+1)*4+3]], ignore_index=True)
+
+    allParametersPerfCrossMutrGradBC.append(localCrossMutr[0])
+    allParametersPerfCrossMutrGradBC.append(localCrossMutr[1])
+    allParametersPerfCrossMutrGradBC.append(localCrossMutr[2])
+    allParametersPerfCrossMutrGradBC.append(localCrossMutr[3])
+
+    HistoryPreservation = HistoryPreservation + allParametersPerfCrossMutrGradBC
+
+    countGradB = 0
+    GradBIntIndex = [] 
+    localCrossMutr.clear()
+    allParametersPerfCrossMutrGradBM = []
+            
+    while countGradB < setMaxLoopValue[6]:
+        for dr in GradBIDs:
+            if (int(re.findall('\d+', dr)[0]) >= greater):
+                GradBIntIndex.append(int(re.findall('\d+', dr)[0])-(addKNN-randomSearchVar*4))
+            else:
+                GradBIntIndex.append(int(re.findall('\d+', dr)[0]))
+        GradPickPair = random.sample(GradBIntIndex,1)
+
+        pairDF = paramAllAlgs.iloc[GradBPickPair]
+        crossoverDF = pd.DataFrame()
+        for column in pairDF:
+            listData = []
+            if (column == 'n_estimators'):
+                randomNumber = random.randint(100, 200)
+                listData.append(randomNumber)
+                crossoverDF[column] = listData
+            else:
+                valuePerColumn = pairDF[column].iloc[0]
+                listData.append(valuePerColumn)
+                crossoverDF[column] = listData
+        if (((paramAllAlgs['n_estimators'] == crossoverDF['n_estimators'].iloc[0]) & (paramAllAlgs['learning_rate'] == crossoverDF['learning_rate'].iloc[0]) & (paramAllAlgs['criterion'] == crossoverDF['criterion'].iloc[0])).any()):
+            crossoverDF = pd.DataFrame()
+        else:
+            clf = GradientBoostingClassifier(random_state=RANDOM_SEED)
+            params = {'n_estimators': [crossoverDF['n_estimators'].iloc[0]], 'learning_rate': [crossoverDF['learning_rate'].iloc[0]], 'criterion': [crossoverDF['criterion'].iloc[0]]}
+            AlgorithmsIDsEnd = countAllModels + countGradB
+            localCrossMutr = crossoverMutation(XData, yData, clf, params, 'GradB_M', AlgorithmsIDsEnd)
+            countGradB += 1
+            crossoverDF = pd.DataFrame()
+
+    countAllModels = countAllModels + setMaxLoopValue[6]
+
+    for loop in range(setMaxLoopValue[6] - 1):
+        localCrossMutr[0] = localCrossMutr[0] + localCrossMutr[(loop+1)*4]
+        localCrossMutr[1] = pd.concat([localCrossMutr[1], localCrossMutr[(loop+1)*4+1]], ignore_index=True)
+        localCrossMutr[2] = pd.concat([localCrossMutr[2], localCrossMutr[(loop+1)*4+2]], ignore_index=True)
+        localCrossMutr[3] = pd.concat([localCrossMutr[3], localCrossMutr[(loop+1)*4+3]], ignore_index=True)
+
+    allParametersPerfCrossMutrGradBM.append(localCrossMutr[0])
+    allParametersPerfCrossMutrGradBM.append(localCrossMutr[1])
+    allParametersPerfCrossMutrGradBM.append(localCrossMutr[2])
+    allParametersPerfCrossMutrGradBM.append(localCrossMutr[3])
+
+    HistoryPreservation = HistoryPreservation + allParametersPerfCrossMutrGradBM
+
+    localCrossMutr.clear()
+
+    allParametersPerfCrossMutr = allParametersPerfCrossMutrKNNC + allParametersPerfCrossMutrKNNM + allParametersPerfCrossMutrLRC + allParametersPerfCrossMutrLRM + allParametersPerfCrossMutrMLPC + allParametersPerfCrossMutrMLPM + allParametersPerfCrossMutrRFC + allParametersPerfCrossMutrRFM + allParametersPerfCrossMutrGradBC + allParametersPerfCrossMutrGradBM
+    allParametersPerformancePerModel[0] = allParametersPerformancePerModel[0] + allParametersPerfCrossMutrKNNC[0] + allParametersPerfCrossMutrKNNM[0]
+
+    allParametersPerformancePerModel[1] = pd.concat([allParametersPerformancePerModel[1], allParametersPerfCrossMutrKNNC[1]], ignore_index=True)
+    allParametersPerformancePerModel[1] = pd.concat([allParametersPerformancePerModel[1], allParametersPerfCrossMutrKNNM[1]], ignore_index=True)
+    allParametersPerformancePerModel[2] = pd.concat([allParametersPerformancePerModel[2], allParametersPerfCrossMutrKNNC[2]], ignore_index=True)
+    allParametersPerformancePerModel[2] = pd.concat([allParametersPerformancePerModel[2], allParametersPerfCrossMutrKNNM[2]], ignore_index=True)
+    
+    allParametersPerformancePerModel[3] = pd.concat([allParametersPerformancePerModel[3], allParametersPerfCrossMutrKNNC[3]], ignore_index=True)
+    allParametersPerformancePerModel[3] = pd.concat([allParametersPerformancePerModel[3], allParametersPerfCrossMutrKNNM[3]], ignore_index=True)
+    
+
+    allParametersPerformancePerModel[4] = allParametersPerformancePerModel[4] + allParametersPerfCrossMutrLRC[0] + allParametersPerfCrossMutrLRM[0]
+    
+    allParametersPerformancePerModel[5] = pd.concat([allParametersPerformancePerModel[5], allParametersPerfCrossMutrLRC[1]], ignore_index=True)
+    allParametersPerformancePerModel[5] = pd.concat([allParametersPerformancePerModel[5], allParametersPerfCrossMutrLRM[1]], ignore_index=True)
+    allParametersPerformancePerModel[6] = pd.concat([allParametersPerformancePerModel[6], allParametersPerfCrossMutrLRC[2]], ignore_index=True)
+    allParametersPerformancePerModel[6] = pd.concat([allParametersPerformancePerModel[6], allParametersPerfCrossMutrLRM[2]], ignore_index=True)
+    
+    allParametersPerformancePerModel[7] = pd.concat([allParametersPerformancePerModel[7], allParametersPerfCrossMutrLRC[3]], ignore_index=True)
+    allParametersPerformancePerModel[7] = pd.concat([allParametersPerformancePerModel[7], allParametersPerfCrossMutrLRM[3]], ignore_index=True)
+
+    allParametersPerformancePerModel[8] = allParametersPerformancePerModel[8] + allParametersPerfCrossMutrMLPC[0] + allParametersPerfCrossMutrMLPM[0]
+    
+    allParametersPerformancePerModel[9] = pd.concat([allParametersPerformancePerModel[9], allParametersPerfCrossMutrMLPC[1]], ignore_index=True)
+    allParametersPerformancePerModel[9] = pd.concat([allParametersPerformancePerModel[9], allParametersPerfCrossMutrMLPM[1]], ignore_index=True)
+    allParametersPerformancePerModel[10] = pd.concat([allParametersPerformancePerModel[10], allParametersPerfCrossMutrMLPC[2]], ignore_index=True)
+    allParametersPerformancePerModel[10] = pd.concat([allParametersPerformancePerModel[10], allParametersPerfCrossMutrMLPM[2]], ignore_index=True)
+    
+    allParametersPerformancePerModel[11] = pd.concat([allParametersPerformancePerModel[11], allParametersPerfCrossMutrMLPC[3]], ignore_index=True)
+    allParametersPerformancePerModel[11] = pd.concat([allParametersPerformancePerModel[11], allParametersPerfCrossMutrMLPM[3]], ignore_index=True)
+
+    allParametersPerformancePerModel[12] = allParametersPerformancePerModel[12] + allParametersPerfCrossMutrRFC[0] + allParametersPerfCrossMutrRFM[0]
+    
+    allParametersPerformancePerModel[13] = pd.concat([allParametersPerformancePerModel[13], allParametersPerfCrossMutrRFC[1]], ignore_index=True)
+    allParametersPerformancePerModel[13] = pd.concat([allParametersPerformancePerModel[13], allParametersPerfCrossMutrRFM[1]], ignore_index=True)
+    allParametersPerformancePerModel[14] = pd.concat([allParametersPerformancePerModel[14], allParametersPerfCrossMutrRFC[2]], ignore_index=True)
+    allParametersPerformancePerModel[14] = pd.concat([allParametersPerformancePerModel[14], allParametersPerfCrossMutrRFM[2]], ignore_index=True)
+    
+    allParametersPerformancePerModel[15] = pd.concat([allParametersPerformancePerModel[15], allParametersPerfCrossMutrRFC[3]], ignore_index=True)
+    allParametersPerformancePerModel[15] = pd.concat([allParametersPerformancePerModel[15], allParametersPerfCrossMutrRFM[3]], ignore_index=True)
+
+    allParametersPerformancePerModel[16] = allParametersPerformancePerModel[16] + allParametersPerfCrossMutrGradBC[0] + allParametersPerfCrossMutrGradBM[0]
+    
+    allParametersPerformancePerModel[17] = pd.concat([allParametersPerformancePerModel[17], allParametersPerfCrossMutrGradBC[1]], ignore_index=True)
+    allParametersPerformancePerModel[17] = pd.concat([allParametersPerformancePerModel[17], allParametersPerfCrossMutrGradBM[1]], ignore_index=True)
+    allParametersPerformancePerModel[18] = pd.concat([allParametersPerformancePerModel[18], allParametersPerfCrossMutrGradBC[2]], ignore_index=True)
+    allParametersPerformancePerModel[18] = pd.concat([allParametersPerformancePerModel[18], allParametersPerfCrossMutrGradBM[2]], ignore_index=True)
+    
+    allParametersPerformancePerModel[19] = pd.concat([allParametersPerformancePerModel[19], allParametersPerfCrossMutrGradBC[3]], ignore_index=True)
+    allParametersPerformancePerModel[19] = pd.concat([allParametersPerformancePerModel[19], allParametersPerfCrossMutrGradBM[3]], ignore_index=True)
+
+    addKNN = addGradB
+
+    addLR = addKNN + setMaxLoopValue[16] + setMaxLoopValue[10]
+
+    addMLP = addLR + setMaxLoopValue[15] + setMaxLoopValue[9]
+
+    addRF = addMLP + setMaxLoopValue[14] + setMaxLoopValue[8]
+
+    addGradB = addRF + setMaxLoopValue[13] + setMaxLoopValue[7]
+
+    return 'Everything Okay'
diff --git a/cachedir/joblib/run/crossoverMutation/0006053317cedfd0cc46f437f1de185e/metadata.json b/cachedir/joblib/run/crossoverMutation/0006053317cedfd0cc46f437f1de185e/metadata.json
new file mode 100644
index 0000000..e5ca7cf
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/0006053317cedfd0cc46f437f1de185e/metadata.json
@@ -0,0 +1 @@
+{"duration": 0.5000419616699219, "input_args": {"XData": "     Fbs  Slope  Trestbps  Exang  Thalach  Age  Chol  Sex  Oldpeak  Restecg  Cp  Ca  Thal\n0      1      0       145      0      150   63   233    1      2.3        0   3   0     1\n1      0      0       130      0      187   37   250    1      3.5        1   2   0     2\n2      0      2       130      0      172   41   204    0      1.4        0   1   0     2\n3      0      2       120      0      178   56   236    1      0.8        1   1   0     2\n4      0      2       120      1      163   57   354    0      0.6        1   0   0     2\n..   ...    ...       ...    ...      ...  ...   ...  ...      ...      ...  ..  ..   ...\n298    0      1       140      1      123   57   241    0      0.2        1   0   0     3\n299    0      1       110      0      132   45   264    1      1.2        1   3   0     3\n300    1      1       144      0      141   68   193    1      3.4        1   0   2     3\n301    0      1       130      1      115   57   131    1      1.2        1   0   1     3\n302    0      1       130      0      174   57   236    0      0.0        0   1   1     2\n\n[303 rows x 13 columns]", "yData": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]", "clf": "LogisticRegression(C=722, max_iter=50, penalty='none', random_state=42,\n                   solver='saga')", "params": "{'C': [722], 'max_iter': [50], 'solver': ['saga'], 'penalty': ['none']}", "eachAlgor": "'LR'", "AlgorithmsIDsEnd": "663"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/crossoverMutation/0134461279de67c5743b613417b5d056/metadata.json b/cachedir/joblib/run/crossoverMutation/0134461279de67c5743b613417b5d056/metadata.json
new file mode 100644
index 0000000..ee854d6
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/0134461279de67c5743b613417b5d056/metadata.json
@@ -0,0 +1 @@
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diff --git a/cachedir/joblib/run/crossoverMutation/014fa6f83962ad97a6526ad5c1ac4dcd/metadata.json b/cachedir/joblib/run/crossoverMutation/014fa6f83962ad97a6526ad5c1ac4dcd/metadata.json
new file mode 100644
index 0000000..d665980
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/02d137b97c53d21810d03aa14d14c579/metadata.json b/cachedir/joblib/run/crossoverMutation/02d137b97c53d21810d03aa14d14c579/metadata.json
new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/02d17b82c7049f4ec0bfb3bda14ffdfe/metadata.json b/cachedir/joblib/run/crossoverMutation/02d17b82c7049f4ec0bfb3bda14ffdfe/metadata.json
new file mode 100644
index 0000000..a35ef9c
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diff --git a/cachedir/joblib/run/crossoverMutation/038b9690e2b1af90eb6eb90f5b594201/metadata.json b/cachedir/joblib/run/crossoverMutation/038b9690e2b1af90eb6eb90f5b594201/metadata.json
new file mode 100644
index 0000000..d5f49b8
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diff --git a/cachedir/joblib/run/crossoverMutation/039ad8b1a801512a5ff9f529d33d3138/metadata.json b/cachedir/joblib/run/crossoverMutation/039ad8b1a801512a5ff9f529d33d3138/metadata.json
new file mode 100644
index 0000000..8b277ec
--- /dev/null
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new file mode 100644
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new file mode 100644
index 0000000..b8bbe63
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/05df763a47cb3dd161c90aa99717a06f/metadata.json b/cachedir/joblib/run/crossoverMutation/05df763a47cb3dd161c90aa99717a06f/metadata.json
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index 0000000..6380d5d
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diff --git a/cachedir/joblib/run/crossoverMutation/065becf132a05926a91c43436e24b22e/metadata.json b/cachedir/joblib/run/crossoverMutation/065becf132a05926a91c43436e24b22e/metadata.json
new file mode 100644
index 0000000..e3aad30
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/06744a1a8c4a6bf3230d4c32823cf96e/metadata.json b/cachedir/joblib/run/crossoverMutation/06744a1a8c4a6bf3230d4c32823cf96e/metadata.json
new file mode 100644
index 0000000..c03e591
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/06744a1a8c4a6bf3230d4c32823cf96e/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/068b54ffd0c54ffd965e15934ef6b3e7/metadata.json b/cachedir/joblib/run/crossoverMutation/068b54ffd0c54ffd965e15934ef6b3e7/metadata.json
new file mode 100644
index 0000000..366a644
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/068b54ffd0c54ffd965e15934ef6b3e7/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/06d45767ef0f362dded9014bbe2e45e1/output.pkl b/cachedir/joblib/run/crossoverMutation/06d45767ef0f362dded9014bbe2e45e1/output.pkl
new file mode 100644
index 0000000..fb81151
Binary files /dev/null and b/cachedir/joblib/run/crossoverMutation/06d45767ef0f362dded9014bbe2e45e1/output.pkl differ
diff --git a/cachedir/joblib/run/crossoverMutation/06fb67b50c9c2f82a223adcc94da7ae8/metadata.json b/cachedir/joblib/run/crossoverMutation/06fb67b50c9c2f82a223adcc94da7ae8/metadata.json
new file mode 100644
index 0000000..07a773f
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/06fb67b50c9c2f82a223adcc94da7ae8/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/072bda906e42b1e680ca1b98019f10d0/metadata.json b/cachedir/joblib/run/crossoverMutation/072bda906e42b1e680ca1b98019f10d0/metadata.json
new file mode 100644
index 0000000..725d285
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/072bda906e42b1e680ca1b98019f10d0/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/07b5113765104957ef402092a9933f65/metadata.json b/cachedir/joblib/run/crossoverMutation/07b5113765104957ef402092a9933f65/metadata.json
new file mode 100644
index 0000000..219e132
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/07b5113765104957ef402092a9933f65/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/07b56e0c4878d081378a9930d32a2b93/metadata.json b/cachedir/joblib/run/crossoverMutation/07b56e0c4878d081378a9930d32a2b93/metadata.json
new file mode 100644
index 0000000..ae5ffff
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/07b56e0c4878d081378a9930d32a2b93/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/088de2949d6736def1d5805d9dbf6c19/output.pkl b/cachedir/joblib/run/crossoverMutation/088de2949d6736def1d5805d9dbf6c19/output.pkl
new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/08ec715dad62f997e07a3e1853a494b6/metadata.json b/cachedir/joblib/run/crossoverMutation/08ec715dad62f997e07a3e1853a494b6/metadata.json
new file mode 100644
index 0000000..e746780
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diff --git a/cachedir/joblib/run/crossoverMutation/091aa5f41f2ce8240ab9e1e4852c1cfd/metadata.json b/cachedir/joblib/run/crossoverMutation/091aa5f41f2ce8240ab9e1e4852c1cfd/metadata.json
new file mode 100644
index 0000000..a466cb5
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/091aa5f41f2ce8240ab9e1e4852c1cfd/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/09350b2bbe1449cb856311230af27c87/metadata.json b/cachedir/joblib/run/crossoverMutation/09350b2bbe1449cb856311230af27c87/metadata.json
new file mode 100644
index 0000000..eef2939
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/09350b2bbe1449cb856311230af27c87/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/09955a1b004a461c86ea56a4188c7450/metadata.json b/cachedir/joblib/run/crossoverMutation/09955a1b004a461c86ea56a4188c7450/metadata.json
new file mode 100644
index 0000000..68a4341
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/09955a1b004a461c86ea56a4188c7450/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/09ed36f5925d49ef730ece65be02071a/metadata.json b/cachedir/joblib/run/crossoverMutation/09ed36f5925d49ef730ece65be02071a/metadata.json
new file mode 100644
index 0000000..451f5dc
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/09ed36f5925d49ef730ece65be02071a/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/0a480bfd58dbe5a38f44f6ff137913fd/metadata.json b/cachedir/joblib/run/crossoverMutation/0a480bfd58dbe5a38f44f6ff137913fd/metadata.json
new file mode 100644
index 0000000..bae0f68
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/0a480bfd58dbe5a38f44f6ff137913fd/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/0a74bc193b7e5b0d1ca2aeeebb5965c6/metadata.json b/cachedir/joblib/run/crossoverMutation/0a74bc193b7e5b0d1ca2aeeebb5965c6/metadata.json
new file mode 100644
index 0000000..ac67e4b
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/0a74bc193b7e5b0d1ca2aeeebb5965c6/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/0a7e7324cd96bc25d3df034fb8b5f2a6/metadata.json b/cachedir/joblib/run/crossoverMutation/0a7e7324cd96bc25d3df034fb8b5f2a6/metadata.json
new file mode 100644
index 0000000..5eee6e7
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/0a7e7324cd96bc25d3df034fb8b5f2a6/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/10d5fe2b33374cfec32afa2f9fceefd0/metadata.json b/cachedir/joblib/run/crossoverMutation/10d5fe2b33374cfec32afa2f9fceefd0/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/10dcb4adfc11a8aaeded2fe5045d1f12/metadata.json b/cachedir/joblib/run/crossoverMutation/10dcb4adfc11a8aaeded2fe5045d1f12/metadata.json
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index 0000000..3e5bd76
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diff --git a/cachedir/joblib/run/crossoverMutation/11a3456a0738816b8ede012fc068e97c/metadata.json b/cachedir/joblib/run/crossoverMutation/11a3456a0738816b8ede012fc068e97c/metadata.json
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+++ b/cachedir/joblib/run/crossoverMutation/11a3456a0738816b8ede012fc068e97c/metadata.json
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new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/127d21db288e2f88b4b6a71fad585b1f/metadata.json b/cachedir/joblib/run/crossoverMutation/127d21db288e2f88b4b6a71fad585b1f/metadata.json
new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/1286a882de50cf7dc57586db73db1df5/metadata.json b/cachedir/joblib/run/crossoverMutation/1286a882de50cf7dc57586db73db1df5/metadata.json
new file mode 100644
index 0000000..3add853
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/15e646cc4a4a73b88c6719da5a9909b8/metadata.json b/cachedir/joblib/run/crossoverMutation/15e646cc4a4a73b88c6719da5a9909b8/metadata.json
new file mode 100644
index 0000000..35dcca3
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/15e646cc4a4a73b88c6719da5a9909b8/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/16fd324528b39d48a287bdc9e9d729fd/metadata.json b/cachedir/joblib/run/crossoverMutation/16fd324528b39d48a287bdc9e9d729fd/metadata.json
new file mode 100644
index 0000000..7cef337
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/16fd324528b39d48a287bdc9e9d729fd/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/1705c28345dd654df64c0a57b74f34f2/output.pkl b/cachedir/joblib/run/crossoverMutation/1705c28345dd654df64c0a57b74f34f2/output.pkl
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new file mode 100644
index 0000000..bb590b8
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diff --git a/cachedir/joblib/run/crossoverMutation/183f34fdf20dc46af982cc70db181588/metadata.json b/cachedir/joblib/run/crossoverMutation/183f34fdf20dc46af982cc70db181588/metadata.json
new file mode 100644
index 0000000..7de3816
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/18d6bf93d6d79c8eb65ac829496b810f/metadata.json b/cachedir/joblib/run/crossoverMutation/18d6bf93d6d79c8eb65ac829496b810f/metadata.json
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index 0000000..14ffedd
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diff --git a/cachedir/joblib/run/crossoverMutation/1c16bdf1a2c02abf6521fe42435880e1/metadata.json b/cachedir/joblib/run/crossoverMutation/1c16bdf1a2c02abf6521fe42435880e1/metadata.json
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index 0000000..23de5a3
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diff --git a/cachedir/joblib/run/crossoverMutation/227e27cc7279932070b91e0867369469/metadata.json b/cachedir/joblib/run/crossoverMutation/227e27cc7279932070b91e0867369469/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/2320dee6d06e7e39f160e3efa8f4ad06/metadata.json b/cachedir/joblib/run/crossoverMutation/2320dee6d06e7e39f160e3efa8f4ad06/metadata.json
new file mode 100644
index 0000000..4d926e3
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/2320dee6d06e7e39f160e3efa8f4ad06/metadata.json
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new file mode 100644
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new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/26069f33bfe793629580addf77eea84b/metadata.json b/cachedir/joblib/run/crossoverMutation/26069f33bfe793629580addf77eea84b/metadata.json
new file mode 100644
index 0000000..1e720da
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diff --git a/cachedir/joblib/run/crossoverMutation/266dc2078a62984772c7350be5a81323/metadata.json b/cachedir/joblib/run/crossoverMutation/266dc2078a62984772c7350be5a81323/metadata.json
new file mode 100644
index 0000000..31b3b51
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diff --git a/cachedir/joblib/run/crossoverMutation/26e39e773b7e4d66041813d987df0115/metadata.json b/cachedir/joblib/run/crossoverMutation/26e39e773b7e4d66041813d987df0115/metadata.json
new file mode 100644
index 0000000..3b269c9
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/27302f34ba7f703a910a5ca50d4451d1/metadata.json b/cachedir/joblib/run/crossoverMutation/27302f34ba7f703a910a5ca50d4451d1/metadata.json
new file mode 100644
index 0000000..a762ec8
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/27302f34ba7f703a910a5ca50d4451d1/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/279a60b90dd89d8693d991cda142f895/output.pkl b/cachedir/joblib/run/crossoverMutation/279a60b90dd89d8693d991cda142f895/output.pkl
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diff --git a/cachedir/joblib/run/crossoverMutation/27bf4f7f92bef83d09fd79221ebaf5cf/metadata.json b/cachedir/joblib/run/crossoverMutation/27bf4f7f92bef83d09fd79221ebaf5cf/metadata.json
new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/28c096d105236991113a887f121b9842/metadata.json b/cachedir/joblib/run/crossoverMutation/28c096d105236991113a887f121b9842/metadata.json
new file mode 100644
index 0000000..d88fd97
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diff --git a/cachedir/joblib/run/crossoverMutation/2959424c4a0285b8b43ad168b26ac9ba/metadata.json b/cachedir/joblib/run/crossoverMutation/2959424c4a0285b8b43ad168b26ac9ba/metadata.json
new file mode 100644
index 0000000..a5dcc75
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diff --git a/cachedir/joblib/run/crossoverMutation/299f31e6095da2def2481f048c1da5bc/metadata.json b/cachedir/joblib/run/crossoverMutation/299f31e6095da2def2481f048c1da5bc/metadata.json
new file mode 100644
index 0000000..af37bf9
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/299f31e6095da2def2481f048c1da5bc/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/29d207e6e7108bd77fa001bab7f3877c/metadata.json b/cachedir/joblib/run/crossoverMutation/29d207e6e7108bd77fa001bab7f3877c/metadata.json
new file mode 100644
index 0000000..85889a8
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/29d207e6e7108bd77fa001bab7f3877c/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/29f55fe757de6f98f2f54a82596a8760/output.pkl b/cachedir/joblib/run/crossoverMutation/29f55fe757de6f98f2f54a82596a8760/output.pkl
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new file mode 100644
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--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/2a3da314efee969f8adf33a1efb86ffe/output.pkl b/cachedir/joblib/run/crossoverMutation/2a3da314efee969f8adf33a1efb86ffe/output.pkl
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diff --git a/cachedir/joblib/run/crossoverMutation/2a7a8d4ec38a246c8c1c1b7af3216a09/metadata.json b/cachedir/joblib/run/crossoverMutation/2a7a8d4ec38a246c8c1c1b7af3216a09/metadata.json
new file mode 100644
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+++ b/cachedir/joblib/run/crossoverMutation/2a7a8d4ec38a246c8c1c1b7af3216a09/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/2b96645cc9dc70a9148aea5087ca487d/metadata.json b/cachedir/joblib/run/crossoverMutation/2b96645cc9dc70a9148aea5087ca487d/metadata.json
new file mode 100644
index 0000000..1fa561c
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diff --git a/cachedir/joblib/run/crossoverMutation/2c92ceac3b187b79a2a061f192ee9c72/metadata.json b/cachedir/joblib/run/crossoverMutation/2c92ceac3b187b79a2a061f192ee9c72/metadata.json
new file mode 100644
index 0000000..b13a110
--- /dev/null
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new file mode 100644
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new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/31b2ab24e6818f2360cb2b03a21da238/metadata.json b/cachedir/joblib/run/crossoverMutation/31b2ab24e6818f2360cb2b03a21da238/metadata.json
new file mode 100644
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new file mode 100644
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--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/32724e7152e90c57e9ce3da15bcde162/metadata.json b/cachedir/joblib/run/crossoverMutation/32724e7152e90c57e9ce3da15bcde162/metadata.json
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--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/35976506a05f01392cc57365005cf0d8/metadata.json b/cachedir/joblib/run/crossoverMutation/35976506a05f01392cc57365005cf0d8/metadata.json
new file mode 100644
index 0000000..75db6bf
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/35976506a05f01392cc57365005cf0d8/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/3628c819610eff8901c97d33c29ed115/metadata.json b/cachedir/joblib/run/crossoverMutation/3628c819610eff8901c97d33c29ed115/metadata.json
new file mode 100644
index 0000000..59ce890
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diff --git a/cachedir/joblib/run/crossoverMutation/372d5a0754074da21451068f7ce60520/metadata.json b/cachedir/joblib/run/crossoverMutation/372d5a0754074da21451068f7ce60520/metadata.json
new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/3732e3b72cd03e70b96a0cd7b735d1e4/metadata.json b/cachedir/joblib/run/crossoverMutation/3732e3b72cd03e70b96a0cd7b735d1e4/metadata.json
new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/3734a95c07d5cd2210ee4ede2cf57582/metadata.json b/cachedir/joblib/run/crossoverMutation/3734a95c07d5cd2210ee4ede2cf57582/metadata.json
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index 0000000..606662b
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/3734a95c07d5cd2210ee4ede2cf57582/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/3968e946455f3eb0e444859ebbb494b1/metadata.json b/cachedir/joblib/run/crossoverMutation/3968e946455f3eb0e444859ebbb494b1/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/3a4e167e7ba49ff33da851ada2fbbd94/metadata.json b/cachedir/joblib/run/crossoverMutation/3a4e167e7ba49ff33da851ada2fbbd94/metadata.json
new file mode 100644
index 0000000..e30060c
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/3a4e167e7ba49ff33da851ada2fbbd94/metadata.json
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new file mode 100644
index 0000000..37c2e6a
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+++ b/cachedir/joblib/run/crossoverMutation/3ad1264eabe1cd14fbc8049291ee8527/metadata.json
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new file mode 100644
index 0000000..9e406a8
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/3d81c792f4663688bc60a217553ab0e4/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/3e51427e92222b48396ef4d5149dc28b/metadata.json b/cachedir/joblib/run/crossoverMutation/3e51427e92222b48396ef4d5149dc28b/metadata.json
new file mode 100644
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--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/42c14df67999c83d7053b19f87fc0178/metadata.json b/cachedir/joblib/run/crossoverMutation/42c14df67999c83d7053b19f87fc0178/metadata.json
new file mode 100644
index 0000000..2d92df0
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/42c14df67999c83d7053b19f87fc0178/metadata.json
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new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/43faf317dc46a3f72dd8189fe3877b20/metadata.json b/cachedir/joblib/run/crossoverMutation/43faf317dc46a3f72dd8189fe3877b20/metadata.json
new file mode 100644
index 0000000..cb6b5db
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/43faf317dc46a3f72dd8189fe3877b20/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/447932514f9014996fe230c8b8232983/metadata.json b/cachedir/joblib/run/crossoverMutation/447932514f9014996fe230c8b8232983/metadata.json
new file mode 100644
index 0000000..6a4b3d1
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/447932514f9014996fe230c8b8232983/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/448fd54e23cb46c4e9b93460316233e2/metadata.json b/cachedir/joblib/run/crossoverMutation/448fd54e23cb46c4e9b93460316233e2/metadata.json
new file mode 100644
index 0000000..c7c9f4b
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/448fd54e23cb46c4e9b93460316233e2/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/4587d54720f5915ddc5f1dd984b54bf8/output.pkl b/cachedir/joblib/run/crossoverMutation/4587d54720f5915ddc5f1dd984b54bf8/output.pkl
new file mode 100644
index 0000000..a4fe91a
Binary files /dev/null and b/cachedir/joblib/run/crossoverMutation/4587d54720f5915ddc5f1dd984b54bf8/output.pkl differ
diff --git a/cachedir/joblib/run/crossoverMutation/458d3f9b143d26abfee4946fdab43039/metadata.json b/cachedir/joblib/run/crossoverMutation/458d3f9b143d26abfee4946fdab43039/metadata.json
new file mode 100644
index 0000000..87e645f
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/458d3f9b143d26abfee4946fdab43039/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/45aa594928abdbdb91f3bad6415c5001/output.pkl b/cachedir/joblib/run/crossoverMutation/45aa594928abdbdb91f3bad6415c5001/output.pkl
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diff --git a/cachedir/joblib/run/crossoverMutation/45bf562b80af97f9f19765a5657f6f76/metadata.json b/cachedir/joblib/run/crossoverMutation/45bf562b80af97f9f19765a5657f6f76/metadata.json
new file mode 100644
index 0000000..503762e
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diff --git a/cachedir/joblib/run/crossoverMutation/4906fcc0bb1da62094a13c46965edad1/metadata.json b/cachedir/joblib/run/crossoverMutation/4906fcc0bb1da62094a13c46965edad1/metadata.json
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new file mode 100644
index 0000000..8da76b5
Binary files /dev/null and b/cachedir/joblib/run/crossoverMutation/4bcab0b7433a9921d4516eed67e03498/output.pkl differ
diff --git a/cachedir/joblib/run/crossoverMutation/4cbe3abc9398be1e40baf8fc31cbde38/metadata.json b/cachedir/joblib/run/crossoverMutation/4cbe3abc9398be1e40baf8fc31cbde38/metadata.json
new file mode 100644
index 0000000..eaa05aa
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/4cbe3abc9398be1e40baf8fc31cbde38/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/4d3d5a83cbeeadf04c4488605b74fc9c/metadata.json b/cachedir/joblib/run/crossoverMutation/4d3d5a83cbeeadf04c4488605b74fc9c/metadata.json
new file mode 100644
index 0000000..55f6e88
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/4d3d5a83cbeeadf04c4488605b74fc9c/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/4d59ff75d3adb3a0a43c7a57ef232b3a/metadata.json b/cachedir/joblib/run/crossoverMutation/4d59ff75d3adb3a0a43c7a57ef232b3a/metadata.json
new file mode 100644
index 0000000..51f160d
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/4d59ff75d3adb3a0a43c7a57ef232b3a/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/4d63f927c10b7a12446ebdb43adca2c3/output.pkl b/cachedir/joblib/run/crossoverMutation/4d63f927c10b7a12446ebdb43adca2c3/output.pkl
new file mode 100644
index 0000000..b827b5f
Binary files /dev/null and b/cachedir/joblib/run/crossoverMutation/4d63f927c10b7a12446ebdb43adca2c3/output.pkl differ
diff --git a/cachedir/joblib/run/crossoverMutation/4d6866b9f711cc3d8f4ebfd1e3408d8d/metadata.json b/cachedir/joblib/run/crossoverMutation/4d6866b9f711cc3d8f4ebfd1e3408d8d/metadata.json
new file mode 100644
index 0000000..aa3a971
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/4d6866b9f711cc3d8f4ebfd1e3408d8d/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/4d8c69708f0e5227d105e0c6fd8fb78b/metadata.json b/cachedir/joblib/run/crossoverMutation/4d8c69708f0e5227d105e0c6fd8fb78b/metadata.json
new file mode 100644
index 0000000..cae3495
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/4d8c69708f0e5227d105e0c6fd8fb78b/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/4dba97b19440a4e2aee21b9625deb499/output.pkl b/cachedir/joblib/run/crossoverMutation/4dba97b19440a4e2aee21b9625deb499/output.pkl
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diff --git a/cachedir/joblib/run/crossoverMutation/546f546c30608e7ed5ab9a0c8b13e371/metadata.json b/cachedir/joblib/run/crossoverMutation/546f546c30608e7ed5ab9a0c8b13e371/metadata.json
new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/54778d81132d25c8d322ffec647dab7c/metadata.json b/cachedir/joblib/run/crossoverMutation/54778d81132d25c8d322ffec647dab7c/metadata.json
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index 0000000..aee18e8
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diff --git a/cachedir/joblib/run/crossoverMutation/54bd53f40635617fee71f5917d1ac185/metadata.json b/cachedir/joblib/run/crossoverMutation/54bd53f40635617fee71f5917d1ac185/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/54faa58f366d49d8bb294191cc656fa6/metadata.json b/cachedir/joblib/run/crossoverMutation/54faa58f366d49d8bb294191cc656fa6/metadata.json
new file mode 100644
index 0000000..d8d25d6
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/54faa58f366d49d8bb294191cc656fa6/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/553d39b6a03e6bbbaf7da701b6920771/metadata.json b/cachedir/joblib/run/crossoverMutation/553d39b6a03e6bbbaf7da701b6920771/metadata.json
new file mode 100644
index 0000000..79e61f3
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/55684ed427bcd70c0bc7301e52641a1c/metadata.json b/cachedir/joblib/run/crossoverMutation/55684ed427bcd70c0bc7301e52641a1c/metadata.json
new file mode 100644
index 0000000..ac1eeff
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/55684ed427bcd70c0bc7301e52641a1c/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/55b249561f9795b42f202de86910bd63/output.pkl b/cachedir/joblib/run/crossoverMutation/55b249561f9795b42f202de86910bd63/output.pkl
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diff --git a/cachedir/joblib/run/crossoverMutation/55b27caeda3aec9a0e6aee5da41950c0/metadata.json b/cachedir/joblib/run/crossoverMutation/55b27caeda3aec9a0e6aee5da41950c0/metadata.json
new file mode 100644
index 0000000..43b37ae
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diff --git a/cachedir/joblib/run/crossoverMutation/5632ba696c2abad72b76310c3648909c/output.pkl b/cachedir/joblib/run/crossoverMutation/5632ba696c2abad72b76310c3648909c/output.pkl
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diff --git a/cachedir/joblib/run/crossoverMutation/56453ef6b31a3e02068829682d8185fb/metadata.json b/cachedir/joblib/run/crossoverMutation/56453ef6b31a3e02068829682d8185fb/metadata.json
new file mode 100644
index 0000000..3198b37
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/572673c714797d000f3cdf460ab3b353/metadata.json b/cachedir/joblib/run/crossoverMutation/572673c714797d000f3cdf460ab3b353/metadata.json
new file mode 100644
index 0000000..2c062bd
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/588b63c0fa38a2942c93dec0d521526b/metadata.json b/cachedir/joblib/run/crossoverMutation/588b63c0fa38a2942c93dec0d521526b/metadata.json
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index 0000000..77236cf
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/588b63c0fa38a2942c93dec0d521526b/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/5a5a4ec600cf5e0694a91165fa457306/metadata.json b/cachedir/joblib/run/crossoverMutation/5a5a4ec600cf5e0694a91165fa457306/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/5c1003b7f363050d8599825173bd5f7c/metadata.json b/cachedir/joblib/run/crossoverMutation/5c1003b7f363050d8599825173bd5f7c/metadata.json
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--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/5c1003b7f363050d8599825173bd5f7c/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/5efc00f362b24c353b39e6bc58a23a34/metadata.json b/cachedir/joblib/run/crossoverMutation/5efc00f362b24c353b39e6bc58a23a34/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/63ff6860ec4019ef1e2a4b480d65390f/metadata.json b/cachedir/joblib/run/crossoverMutation/63ff6860ec4019ef1e2a4b480d65390f/metadata.json
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--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/6bb91f8dd520bd1fd8977e09d5ee1548/metadata.json b/cachedir/joblib/run/crossoverMutation/6bb91f8dd520bd1fd8977e09d5ee1548/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/6c2a860cc4fb8aac074206f16187727a/metadata.json b/cachedir/joblib/run/crossoverMutation/6c2a860cc4fb8aac074206f16187727a/metadata.json
new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/6c60159cc8562df96abf88a3d66bd91b/metadata.json b/cachedir/joblib/run/crossoverMutation/6c60159cc8562df96abf88a3d66bd91b/metadata.json
new file mode 100644
index 0000000..e5a7671
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/6cf8557d471ad9a4a29dcc72a8456b36/metadata.json b/cachedir/joblib/run/crossoverMutation/6cf8557d471ad9a4a29dcc72a8456b36/metadata.json
new file mode 100644
index 0000000..d89b0a1
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diff --git a/cachedir/joblib/run/crossoverMutation/6f0af8f477a97de6ee3f0ac952a3d8e1/metadata.json b/cachedir/joblib/run/crossoverMutation/6f0af8f477a97de6ee3f0ac952a3d8e1/metadata.json
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index 0000000..142b026
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/6f0af8f477a97de6ee3f0ac952a3d8e1/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/71f0b0bf1f40875e0d5e150f65027268/metadata.json b/cachedir/joblib/run/crossoverMutation/71f0b0bf1f40875e0d5e150f65027268/metadata.json
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--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/73ae19f788af5cb90ee4380fe58bce56/metadata.json b/cachedir/joblib/run/crossoverMutation/73ae19f788af5cb90ee4380fe58bce56/metadata.json
new file mode 100644
index 0000000..4f8d7de
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/73ae19f788af5cb90ee4380fe58bce56/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/73d6181429fbc1bba75e1dd82abae527/metadata.json b/cachedir/joblib/run/crossoverMutation/73d6181429fbc1bba75e1dd82abae527/metadata.json
new file mode 100644
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+++ b/cachedir/joblib/run/crossoverMutation/73d6181429fbc1bba75e1dd82abae527/metadata.json
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new file mode 100644
index 0000000..2a201fc
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diff --git a/cachedir/joblib/run/crossoverMutation/76d368aea90209aa01efd64a106a1650/metadata.json b/cachedir/joblib/run/crossoverMutation/76d368aea90209aa01efd64a106a1650/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/7730fb9689b70f73beb9ba8ce927877f/metadata.json b/cachedir/joblib/run/crossoverMutation/7730fb9689b70f73beb9ba8ce927877f/metadata.json
new file mode 100644
index 0000000..84a85ba
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/7730fb9689b70f73beb9ba8ce927877f/metadata.json
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new file mode 100644
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new file mode 100644
index 0000000..bd55382
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/7a4fb4e6b17fe23f0466f8d44675d385/metadata.json b/cachedir/joblib/run/crossoverMutation/7a4fb4e6b17fe23f0466f8d44675d385/metadata.json
new file mode 100644
index 0000000..c4b1abb
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/7a4fb4e6b17fe23f0466f8d44675d385/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/7ac8c1765a6753b7bd7b1db0c834358b/output.pkl b/cachedir/joblib/run/crossoverMutation/7ac8c1765a6753b7bd7b1db0c834358b/output.pkl
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diff --git a/cachedir/joblib/run/crossoverMutation/7b59738eae37fa20a91cc41b86421477/metadata.json b/cachedir/joblib/run/crossoverMutation/7b59738eae37fa20a91cc41b86421477/metadata.json
new file mode 100644
index 0000000..6347fa6
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diff --git a/cachedir/joblib/run/crossoverMutation/7cf81cb3b67e78557fad5638cd8dddcc/metadata.json b/cachedir/joblib/run/crossoverMutation/7cf81cb3b67e78557fad5638cd8dddcc/metadata.json
new file mode 100644
index 0000000..c5e73c8
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diff --git a/cachedir/joblib/run/crossoverMutation/7d576a22d50c105017ef1dbd4408c6d8/metadata.json b/cachedir/joblib/run/crossoverMutation/7d576a22d50c105017ef1dbd4408c6d8/metadata.json
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--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/7d576a22d50c105017ef1dbd4408c6d8/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/7d775340a0e1a74d7bb3dd6dd927459e/metadata.json b/cachedir/joblib/run/crossoverMutation/7d775340a0e1a74d7bb3dd6dd927459e/metadata.json
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index 0000000..ca88226
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/8094d495f6889531411fd94c28484543/metadata.json b/cachedir/joblib/run/crossoverMutation/8094d495f6889531411fd94c28484543/metadata.json
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index 0000000..622d6ea
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/8094d495f6889531411fd94c28484543/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/80cfb67c443bd7e98642e6a0687879c4/metadata.json b/cachedir/joblib/run/crossoverMutation/80cfb67c443bd7e98642e6a0687879c4/metadata.json
new file mode 100644
index 0000000..305fd82
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/80cfb67c443bd7e98642e6a0687879c4/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/81ce5b058200a1448761dac048d46f5a/metadata.json b/cachedir/joblib/run/crossoverMutation/81ce5b058200a1448761dac048d46f5a/metadata.json
new file mode 100644
index 0000000..ac637ed
--- /dev/null
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new file mode 100644
index 0000000..4c0dddb
Binary files /dev/null and b/cachedir/joblib/run/crossoverMutation/82990f30148ec2ed8c73f815d2aab9f2/output.pkl differ
diff --git a/cachedir/joblib/run/crossoverMutation/83172938f702aee84ad7cbaeb1fde70e/metadata.json b/cachedir/joblib/run/crossoverMutation/83172938f702aee84ad7cbaeb1fde70e/metadata.json
new file mode 100644
index 0000000..0e7bc6a
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/83172938f702aee84ad7cbaeb1fde70e/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/83a91674144f74578b10b9d80430ee37/metadata.json b/cachedir/joblib/run/crossoverMutation/83a91674144f74578b10b9d80430ee37/metadata.json
new file mode 100644
index 0000000..411e2bf
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/83a91674144f74578b10b9d80430ee37/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/83e581e2d7488f296a1c61d3af5a53ef/metadata.json b/cachedir/joblib/run/crossoverMutation/83e581e2d7488f296a1c61d3af5a53ef/metadata.json
new file mode 100644
index 0000000..3f25f34
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/845aaa4f16085ec06ba55af641d3bc26/metadata.json b/cachedir/joblib/run/crossoverMutation/845aaa4f16085ec06ba55af641d3bc26/metadata.json
new file mode 100644
index 0000000..44eccc7
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/849a9cb6598c3a8e3a8daba8781ff3dc/metadata.json b/cachedir/joblib/run/crossoverMutation/849a9cb6598c3a8e3a8daba8781ff3dc/metadata.json
new file mode 100644
index 0000000..bc618da
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/849a9cb6598c3a8e3a8daba8781ff3dc/metadata.json
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\ No newline at end of file
diff --git a/cachedir/joblib/run/crossoverMutation/8525892dc59fa3c41bc92ee024f92fff/metadata.json b/cachedir/joblib/run/crossoverMutation/8525892dc59fa3c41bc92ee024f92fff/metadata.json
new file mode 100644
index 0000000..ccde264
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/85dab8841e83eb57bf36bbc023c63065/metadata.json b/cachedir/joblib/run/crossoverMutation/85dab8841e83eb57bf36bbc023c63065/metadata.json
new file mode 100644
index 0000000..8e4e638
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/85dab8841e83eb57bf36bbc023c63065/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/86f4ee5348e20954ec12c2e5cfded899/metadata.json b/cachedir/joblib/run/crossoverMutation/86f4ee5348e20954ec12c2e5cfded899/metadata.json
new file mode 100644
index 0000000..0a3a968
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/86f4ee5348e20954ec12c2e5cfded899/metadata.json
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new file mode 100644
index 0000000..5a53214
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index 0000000..2901095
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diff --git a/cachedir/joblib/run/crossoverMutation/8b014cfa7437300f524d2dba36e123c6/metadata.json b/cachedir/joblib/run/crossoverMutation/8b014cfa7437300f524d2dba36e123c6/metadata.json
new file mode 100644
index 0000000..0484b2b
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/8b014cfa7437300f524d2dba36e123c6/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/8d0845e01b607782bec98c98a632d81e/metadata.json b/cachedir/joblib/run/crossoverMutation/8d0845e01b607782bec98c98a632d81e/metadata.json
new file mode 100644
index 0000000..f98ce10
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/8d0845e01b607782bec98c98a632d81e/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/8d1c33f1677db66929e500f4ed4c63be/output.pkl b/cachedir/joblib/run/crossoverMutation/8d1c33f1677db66929e500f4ed4c63be/output.pkl
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diff --git a/cachedir/joblib/run/crossoverMutation/8d465839e4beb05e4a205010d3db6b95/metadata.json b/cachedir/joblib/run/crossoverMutation/8d465839e4beb05e4a205010d3db6b95/metadata.json
new file mode 100644
index 0000000..c0fdfd5
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+++ b/cachedir/joblib/run/crossoverMutation/8d465839e4beb05e4a205010d3db6b95/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/8dc17e6458dfc58dcbc788d45adebeaf/metadata.json b/cachedir/joblib/run/crossoverMutation/8dc17e6458dfc58dcbc788d45adebeaf/metadata.json
new file mode 100644
index 0000000..d879d37
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/8dc17e6458dfc58dcbc788d45adebeaf/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/8e3fcbbfa2ee4725a782e2c2eb947c93/metadata.json b/cachedir/joblib/run/crossoverMutation/8e3fcbbfa2ee4725a782e2c2eb947c93/metadata.json
new file mode 100644
index 0000000..6824a1d
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/8e3fcbbfa2ee4725a782e2c2eb947c93/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/8ef8295c085c4468f1320854923e87ab/output.pkl b/cachedir/joblib/run/crossoverMutation/8ef8295c085c4468f1320854923e87ab/output.pkl
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diff --git a/cachedir/joblib/run/crossoverMutation/923b599efbc0518bb99455f3912dcf87/metadata.json b/cachedir/joblib/run/crossoverMutation/923b599efbc0518bb99455f3912dcf87/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/969efccd2bb3f64d663571ec78cd470a/output.pkl b/cachedir/joblib/run/crossoverMutation/969efccd2bb3f64d663571ec78cd470a/output.pkl
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index 0000000..5b71b3b
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diff --git a/cachedir/joblib/run/crossoverMutation/96b369416fffa6dd9c1784ca3e2a68a5/metadata.json b/cachedir/joblib/run/crossoverMutation/96b369416fffa6dd9c1784ca3e2a68a5/metadata.json
new file mode 100644
index 0000000..163745e
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/96d1dff66d6ea537090da491bf37764c/metadata.json b/cachedir/joblib/run/crossoverMutation/96d1dff66d6ea537090da491bf37764c/metadata.json
new file mode 100644
index 0000000..c7a3c3d
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/96d1dff66d6ea537090da491bf37764c/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/98ed04be0c401d4e803fbcd8a68df56b/metadata.json b/cachedir/joblib/run/crossoverMutation/98ed04be0c401d4e803fbcd8a68df56b/metadata.json
new file mode 100644
index 0000000..c155f06
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/98ed04be0c401d4e803fbcd8a68df56b/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/9939435a968a4752dd4a42c1e6ffc4ea/metadata.json b/cachedir/joblib/run/crossoverMutation/9939435a968a4752dd4a42c1e6ffc4ea/metadata.json
new file mode 100644
index 0000000..a9f16f4
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/99c398da84259bf71d177ec1eb2f21e1/metadata.json b/cachedir/joblib/run/crossoverMutation/99c398da84259bf71d177ec1eb2f21e1/metadata.json
new file mode 100644
index 0000000..89d3310
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/99c398da84259bf71d177ec1eb2f21e1/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/99ff52fbf111936d8b06e765bb093bf8/output.pkl b/cachedir/joblib/run/crossoverMutation/99ff52fbf111936d8b06e765bb093bf8/output.pkl
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+++ b/cachedir/joblib/run/crossoverMutation/9f5a2d2da6b9d7aafdbf5bb3dfb0f9d8/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/a08b63d13a9c6c93ad71acf2784da2de/metadata.json b/cachedir/joblib/run/crossoverMutation/a08b63d13a9c6c93ad71acf2784da2de/metadata.json
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--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/a0e170de08c245a1fcd813a1218c57a0/metadata.json b/cachedir/joblib/run/crossoverMutation/a0e170de08c245a1fcd813a1218c57a0/metadata.json
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index 0000000..dcd863d
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/a1eac6fbf49757672e4f46d075f861bb/metadata.json b/cachedir/joblib/run/crossoverMutation/a1eac6fbf49757672e4f46d075f861bb/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/a232b62dba30082e8db5e9dca6bfe071/metadata.json b/cachedir/joblib/run/crossoverMutation/a232b62dba30082e8db5e9dca6bfe071/metadata.json
new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/a2816740b8dd50226f8b84a9e435ca9e/metadata.json b/cachedir/joblib/run/crossoverMutation/a2816740b8dd50226f8b84a9e435ca9e/metadata.json
new file mode 100644
index 0000000..1b9ee4a
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diff --git a/cachedir/joblib/run/crossoverMutation/a3bdc6cae408ab6dcf471fca92647b7d/metadata.json b/cachedir/joblib/run/crossoverMutation/a3bdc6cae408ab6dcf471fca92647b7d/metadata.json
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index 0000000..69a5d65
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diff --git a/cachedir/joblib/run/crossoverMutation/a5dcfb284df6606d93168dc2e8a044a0/metadata.json b/cachedir/joblib/run/crossoverMutation/a5dcfb284df6606d93168dc2e8a044a0/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/a7a18c802684c4507174d035f8f5ca70/metadata.json b/cachedir/joblib/run/crossoverMutation/a7a18c802684c4507174d035f8f5ca70/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/a7eceb3b23c265a6926a03bf7ce0fbe3/metadata.json b/cachedir/joblib/run/crossoverMutation/a7eceb3b23c265a6926a03bf7ce0fbe3/metadata.json
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new file mode 100644
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Binary files /dev/null and b/cachedir/joblib/run/crossoverMutation/a984e23221ec5423b28c2c1b7d103977/output.pkl differ
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new file mode 100644
index 0000000..a64092c
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/a9a57b19bf9bf4577d5629710cf3c6a2/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/aba4e82403df6e5f29ab4fd4aa4792e8/metadata.json b/cachedir/joblib/run/crossoverMutation/aba4e82403df6e5f29ab4fd4aa4792e8/metadata.json
new file mode 100644
index 0000000..f8878b6
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/aceeebf40b0a9d315d3337f60536f1d8/metadata.json b/cachedir/joblib/run/crossoverMutation/aceeebf40b0a9d315d3337f60536f1d8/metadata.json
new file mode 100644
index 0000000..59da492
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/aceeebf40b0a9d315d3337f60536f1d8/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/ad8653b16af861757ce13eaea53850f9/metadata.json b/cachedir/joblib/run/crossoverMutation/ad8653b16af861757ce13eaea53850f9/metadata.json
new file mode 100644
index 0000000..d7b4a9a
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/ad8653b16af861757ce13eaea53850f9/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/b430294fa0d17b4e36bcdafc890b1bdf/metadata.json b/cachedir/joblib/run/crossoverMutation/b430294fa0d17b4e36bcdafc890b1bdf/metadata.json
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index 0000000..5e90285
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/b66b92bdb7e7848545b14a81e389edd1/metadata.json b/cachedir/joblib/run/crossoverMutation/b66b92bdb7e7848545b14a81e389edd1/metadata.json
new file mode 100644
index 0000000..24862f3
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/b66b92bdb7e7848545b14a81e389edd1/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/b732e9b0099b2a0993b363808637bf85/metadata.json b/cachedir/joblib/run/crossoverMutation/b732e9b0099b2a0993b363808637bf85/metadata.json
new file mode 100644
index 0000000..8bf7326
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/b732e9b0099b2a0993b363808637bf85/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/b8361fd6b2e8f3838e359f5d38e7cfcb/output.pkl b/cachedir/joblib/run/crossoverMutation/b8361fd6b2e8f3838e359f5d38e7cfcb/output.pkl
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new file mode 100644
index 0000000..28dc8b1
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+++ b/cachedir/joblib/run/crossoverMutation/b84302e3c7a9154ee4084917d3353033/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/b87be2a399a37a8a0b4bf6977d617fa8/metadata.json b/cachedir/joblib/run/crossoverMutation/b87be2a399a37a8a0b4bf6977d617fa8/metadata.json
new file mode 100644
index 0000000..cf931cd
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/b87be2a399a37a8a0b4bf6977d617fa8/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/b8f70637318402c1beee9c6bde467de0/metadata.json b/cachedir/joblib/run/crossoverMutation/b8f70637318402c1beee9c6bde467de0/metadata.json
new file mode 100644
index 0000000..a4cad70
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/b8f70637318402c1beee9c6bde467de0/metadata.json
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+++ b/cachedir/joblib/run/crossoverMutation/bb05347fe6b440aabbb63466597cfb65/metadata.json
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new file mode 100644
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Binary files /dev/null and b/cachedir/joblib/run/crossoverMutation/bbab6de7bd421d53041beb9d4cd50ff7/output.pkl differ
diff --git a/cachedir/joblib/run/crossoverMutation/bc1d25b6b9af370f322cba4cd41eb81b/metadata.json b/cachedir/joblib/run/crossoverMutation/bc1d25b6b9af370f322cba4cd41eb81b/metadata.json
new file mode 100644
index 0000000..01c1f75
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/bc1d25b6b9af370f322cba4cd41eb81b/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/bd7229427ccc150cd1cd0ca31ccf41bd/metadata.json b/cachedir/joblib/run/crossoverMutation/bd7229427ccc150cd1cd0ca31ccf41bd/metadata.json
new file mode 100644
index 0000000..8fc25c7
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/bd7229427ccc150cd1cd0ca31ccf41bd/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/bd9f03d753a5cfaa137a19d2573eca9b/metadata.json b/cachedir/joblib/run/crossoverMutation/bd9f03d753a5cfaa137a19d2573eca9b/metadata.json
new file mode 100644
index 0000000..4da9a57
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/bd9f03d753a5cfaa137a19d2573eca9b/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/be68e125978b9bfde26217a8f5d21420/metadata.json b/cachedir/joblib/run/crossoverMutation/be68e125978b9bfde26217a8f5d21420/metadata.json
new file mode 100644
index 0000000..5553b1b
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/be68e125978b9bfde26217a8f5d21420/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/bf3ca86b720bec43c686210a8876c243/metadata.json b/cachedir/joblib/run/crossoverMutation/bf3ca86b720bec43c686210a8876c243/metadata.json
new file mode 100644
index 0000000..a8a5229
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/bf3ca86b720bec43c686210a8876c243/metadata.json
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+++ b/cachedir/joblib/run/crossoverMutation/bfedc195bd057a9ef9d77239e518546c/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/c0b49cff5c286603502d8b360414cf3b/metadata.json b/cachedir/joblib/run/crossoverMutation/c0b49cff5c286603502d8b360414cf3b/metadata.json
new file mode 100644
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--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/c0b49cff5c286603502d8b360414cf3b/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/c0e4d8b70b9851a22e6dab47a74839da/metadata.json b/cachedir/joblib/run/crossoverMutation/c0e4d8b70b9851a22e6dab47a74839da/metadata.json
new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/c19d062989355d6e14b1ec8877815813/metadata.json b/cachedir/joblib/run/crossoverMutation/c19d062989355d6e14b1ec8877815813/metadata.json
new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/c2447fed0aedfcc1f1df863c6a86ae23/metadata.json b/cachedir/joblib/run/crossoverMutation/c2447fed0aedfcc1f1df863c6a86ae23/metadata.json
new file mode 100644
index 0000000..f383a1c
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/c2447fed0aedfcc1f1df863c6a86ae23/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/c2a0ed1e6efb15a6729848adcbba335b/metadata.json b/cachedir/joblib/run/crossoverMutation/c2a0ed1e6efb15a6729848adcbba335b/metadata.json
new file mode 100644
index 0000000..58f72b3
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diff --git a/cachedir/joblib/run/crossoverMutation/c2bb562713e09ef9e17e30c70b8a4c21/metadata.json b/cachedir/joblib/run/crossoverMutation/c2bb562713e09ef9e17e30c70b8a4c21/metadata.json
new file mode 100644
index 0000000..36adec3
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/c2bb562713e09ef9e17e30c70b8a4c21/metadata.json
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new file mode 100644
index 0000000..96dfdd9
Binary files /dev/null and b/cachedir/joblib/run/crossoverMutation/c40e7fe0cee1dc872de98ace38b1b2c0/output.pkl differ
diff --git a/cachedir/joblib/run/crossoverMutation/c41398a79e510c36092930228a01925b/metadata.json b/cachedir/joblib/run/crossoverMutation/c41398a79e510c36092930228a01925b/metadata.json
new file mode 100644
index 0000000..a589dab
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/c41398a79e510c36092930228a01925b/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/c4a1eacdfaeee6426e7e0279b0c59e37/metadata.json b/cachedir/joblib/run/crossoverMutation/c4a1eacdfaeee6426e7e0279b0c59e37/metadata.json
new file mode 100644
index 0000000..0b20a8b
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/c4a1eacdfaeee6426e7e0279b0c59e37/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/c4c1f532fb47ad430459a49ec6e7e8bf/metadata.json b/cachedir/joblib/run/crossoverMutation/c4c1f532fb47ad430459a49ec6e7e8bf/metadata.json
new file mode 100644
index 0000000..13c5d1c
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/c4c1f532fb47ad430459a49ec6e7e8bf/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/c4c73130ba243a830c1b43d4d9e013c7/metadata.json b/cachedir/joblib/run/crossoverMutation/c4c73130ba243a830c1b43d4d9e013c7/metadata.json
new file mode 100644
index 0000000..814cbdf
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/c4c73130ba243a830c1b43d4d9e013c7/metadata.json
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\ No newline at end of file
diff --git a/cachedir/joblib/run/crossoverMutation/c4f98c97d29e158abb489f6ac7080139/metadata.json b/cachedir/joblib/run/crossoverMutation/c4f98c97d29e158abb489f6ac7080139/metadata.json
new file mode 100644
index 0000000..5a86ae9
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/c4f98c97d29e158abb489f6ac7080139/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/c569f1ba9f9e2c431c526de87d023598/metadata.json b/cachedir/joblib/run/crossoverMutation/c569f1ba9f9e2c431c526de87d023598/metadata.json
new file mode 100644
index 0000000..ebad521
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/c569f1ba9f9e2c431c526de87d023598/metadata.json
@@ -0,0 +1 @@
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diff --git a/cachedir/joblib/run/crossoverMutation/c59059a86f42051cc029d9ba1f8de074/output.pkl b/cachedir/joblib/run/crossoverMutation/c59059a86f42051cc029d9ba1f8de074/output.pkl
new file mode 100644
index 0000000..901ca2f
Binary files /dev/null and b/cachedir/joblib/run/crossoverMutation/c59059a86f42051cc029d9ba1f8de074/output.pkl differ
diff --git a/cachedir/joblib/run/crossoverMutation/c71caed279ed3bd07e7275691802fa28/metadata.json b/cachedir/joblib/run/crossoverMutation/c71caed279ed3bd07e7275691802fa28/metadata.json
new file mode 100644
index 0000000..ace261f
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/c71caed279ed3bd07e7275691802fa28/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/c73ec341870b48674278cf88fed9d0f1/metadata.json b/cachedir/joblib/run/crossoverMutation/c73ec341870b48674278cf88fed9d0f1/metadata.json
new file mode 100644
index 0000000..678f283
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/c73ec341870b48674278cf88fed9d0f1/metadata.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/cachedir/joblib/run/crossoverMutation/c768ab7438ee71d3904d2b84be38eae6/output.pkl b/cachedir/joblib/run/crossoverMutation/c768ab7438ee71d3904d2b84be38eae6/output.pkl
new file mode 100644
index 0000000..b572cee
Binary files /dev/null and b/cachedir/joblib/run/crossoverMutation/c768ab7438ee71d3904d2b84be38eae6/output.pkl differ
diff --git a/cachedir/joblib/run/crossoverMutation/c7c55fe0b5cb8352fcc1aaed5eb56917/metadata.json b/cachedir/joblib/run/crossoverMutation/c7c55fe0b5cb8352fcc1aaed5eb56917/metadata.json
new file mode 100644
index 0000000..5d91c69
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/c7c55fe0b5cb8352fcc1aaed5eb56917/metadata.json
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\ No newline at end of file
diff --git a/cachedir/joblib/run/crossoverMutation/c7f16c6c8d0a671a6c7dee24d96c8fe1/metadata.json b/cachedir/joblib/run/crossoverMutation/c7f16c6c8d0a671a6c7dee24d96c8fe1/metadata.json
new file mode 100644
index 0000000..036cce1
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/c7f16c6c8d0a671a6c7dee24d96c8fe1/metadata.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/cachedir/joblib/run/crossoverMutation/c833948382156ed69cc149d60407ec4a/metadata.json b/cachedir/joblib/run/crossoverMutation/c833948382156ed69cc149d60407ec4a/metadata.json
new file mode 100644
index 0000000..3cc6f20
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/c8c3393f53a5412946a7ab45304fba77/metadata.json b/cachedir/joblib/run/crossoverMutation/c8c3393f53a5412946a7ab45304fba77/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/cecd1de8170542ec2d3fdfe8c27b38f9/metadata.json b/cachedir/joblib/run/crossoverMutation/cecd1de8170542ec2d3fdfe8c27b38f9/metadata.json
new file mode 100644
index 0000000..b0bdc78
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/cecd1de8170542ec2d3fdfe8c27b38f9/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/cf25577170e7c4e9565af733d51a2cc0/metadata.json b/cachedir/joblib/run/crossoverMutation/cf25577170e7c4e9565af733d51a2cc0/metadata.json
new file mode 100644
index 0000000..b325c63
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/d03e98457fd93e4f2dd73bf9aa25d780/metadata.json b/cachedir/joblib/run/crossoverMutation/d03e98457fd93e4f2dd73bf9aa25d780/metadata.json
new file mode 100644
index 0000000..a09b9a4
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diff --git a/cachedir/joblib/run/crossoverMutation/d1ed8765da58c4b029813da4f5fc69d2/metadata.json b/cachedir/joblib/run/crossoverMutation/d1ed8765da58c4b029813da4f5fc69d2/metadata.json
new file mode 100644
index 0000000..1ac3887
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/d1ed8765da58c4b029813da4f5fc69d2/metadata.json
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new file mode 100644
index 0000000..e093cff
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new file mode 100644
index 0000000..b45663d
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diff --git a/cachedir/joblib/run/crossoverMutation/d4cfac09d0b6237c093f3b3693126644/metadata.json b/cachedir/joblib/run/crossoverMutation/d4cfac09d0b6237c093f3b3693126644/metadata.json
new file mode 100644
index 0000000..a789d4d
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/d570a51078d3dbc69edf8bee898cd42d/output.pkl b/cachedir/joblib/run/crossoverMutation/d570a51078d3dbc69edf8bee898cd42d/output.pkl
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new file mode 100644
index 0000000..463a489
Binary files /dev/null and b/cachedir/joblib/run/crossoverMutation/d5cea3bb0a7b66f114d0e352b9b232b5/output.pkl differ
diff --git a/cachedir/joblib/run/crossoverMutation/d5ddaa62a98e567d168db7d95ed77c3b/metadata.json b/cachedir/joblib/run/crossoverMutation/d5ddaa62a98e567d168db7d95ed77c3b/metadata.json
new file mode 100644
index 0000000..cf69631
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/d5ddaa62a98e567d168db7d95ed77c3b/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/d6628505ba11a46d915b320053dd8bc3/metadata.json b/cachedir/joblib/run/crossoverMutation/d6628505ba11a46d915b320053dd8bc3/metadata.json
new file mode 100644
index 0000000..671dae7
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/d6628505ba11a46d915b320053dd8bc3/metadata.json
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\ No newline at end of file
diff --git a/cachedir/joblib/run/crossoverMutation/d74ec4cd156a6980c88513578f81c925/output.pkl b/cachedir/joblib/run/crossoverMutation/d74ec4cd156a6980c88513578f81c925/output.pkl
new file mode 100644
index 0000000..3bebc53
Binary files /dev/null and b/cachedir/joblib/run/crossoverMutation/d74ec4cd156a6980c88513578f81c925/output.pkl differ
diff --git a/cachedir/joblib/run/crossoverMutation/d7b3fdcca5550c82ab72be0aad36ea00/metadata.json b/cachedir/joblib/run/crossoverMutation/d7b3fdcca5550c82ab72be0aad36ea00/metadata.json
new file mode 100644
index 0000000..1339b9b
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/d7b3fdcca5550c82ab72be0aad36ea00/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/d7e81f9724dc2bbf0cfee9b953de8072/metadata.json b/cachedir/joblib/run/crossoverMutation/d7e81f9724dc2bbf0cfee9b953de8072/metadata.json
new file mode 100644
index 0000000..4c395ba
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/d7e81f9724dc2bbf0cfee9b953de8072/metadata.json
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\ No newline at end of file
diff --git a/cachedir/joblib/run/crossoverMutation/d80bc9f73da10e5a5f2ee14e43e849d6/metadata.json b/cachedir/joblib/run/crossoverMutation/d80bc9f73da10e5a5f2ee14e43e849d6/metadata.json
new file mode 100644
index 0000000..93eab3a
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/d80bc9f73da10e5a5f2ee14e43e849d6/metadata.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/cachedir/joblib/run/crossoverMutation/d80f31b66f94545a1227f3b5f51d6d4b/metadata.json b/cachedir/joblib/run/crossoverMutation/d80f31b66f94545a1227f3b5f51d6d4b/metadata.json
new file mode 100644
index 0000000..b3253e0
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/d80f31b66f94545a1227f3b5f51d6d4b/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/d81f4a974b01c1385a15e1d5b2f3ddc5/metadata.json b/cachedir/joblib/run/crossoverMutation/d81f4a974b01c1385a15e1d5b2f3ddc5/metadata.json
new file mode 100644
index 0000000..497303d
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/d81f4a974b01c1385a15e1d5b2f3ddc5/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/d90003c463c4f4b15170f4218b85c195/metadata.json b/cachedir/joblib/run/crossoverMutation/d90003c463c4f4b15170f4218b85c195/metadata.json
new file mode 100644
index 0000000..c8bac15
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/d90003c463c4f4b15170f4218b85c195/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/d927c79be59999805d72caa705e456cc/metadata.json b/cachedir/joblib/run/crossoverMutation/d927c79be59999805d72caa705e456cc/metadata.json
new file mode 100644
index 0000000..15fcd60
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/d927c79be59999805d72caa705e456cc/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/d95c45392fedcf76db65d1f9d636b38f/metadata.json b/cachedir/joblib/run/crossoverMutation/d95c45392fedcf76db65d1f9d636b38f/metadata.json
new file mode 100644
index 0000000..0bec7ee
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/d95c45392fedcf76db65d1f9d636b38f/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/dc8314897f5b3ec5dc18c36e53fe06b4/metadata.json b/cachedir/joblib/run/crossoverMutation/dc8314897f5b3ec5dc18c36e53fe06b4/metadata.json
new file mode 100644
index 0000000..db82bee
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diff --git a/cachedir/joblib/run/crossoverMutation/dcb0cafbf755bed32be3bfab68deefad/output.pkl b/cachedir/joblib/run/crossoverMutation/dcb0cafbf755bed32be3bfab68deefad/output.pkl
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diff --git a/cachedir/joblib/run/crossoverMutation/dd4fed4e21983955fbb7c0ce3a92ccfc/metadata.json b/cachedir/joblib/run/crossoverMutation/dd4fed4e21983955fbb7c0ce3a92ccfc/metadata.json
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index 0000000..8d0d078
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/dd4fed4e21983955fbb7c0ce3a92ccfc/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/df769119771b6bd9f869c4ac28ff1ca2/output.pkl b/cachedir/joblib/run/crossoverMutation/df769119771b6bd9f869c4ac28ff1ca2/output.pkl
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index 0000000..3a30ab4
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/dff8b0c80362fefc916487bb0b0810d8/metadata.json
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index 0000000..b4717d5
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diff --git a/cachedir/joblib/run/crossoverMutation/e3c7429ac0c302a4a12e78556b3c7a9f/metadata.json b/cachedir/joblib/run/crossoverMutation/e3c7429ac0c302a4a12e78556b3c7a9f/metadata.json
new file mode 100644
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+++ b/cachedir/joblib/run/crossoverMutation/e3c7429ac0c302a4a12e78556b3c7a9f/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/e3d4486daab1661ac3d9776525296b74/metadata.json b/cachedir/joblib/run/crossoverMutation/e3d4486daab1661ac3d9776525296b74/metadata.json
new file mode 100644
index 0000000..71f76c2
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diff --git a/cachedir/joblib/run/crossoverMutation/e3f8c6904af593abacfbc20128c1961c/metadata.json b/cachedir/joblib/run/crossoverMutation/e3f8c6904af593abacfbc20128c1961c/metadata.json
new file mode 100644
index 0000000..47f7612
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/e3f8c6904af593abacfbc20128c1961c/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/e73604a50621f820af988f1a80b5a8ab/metadata.json b/cachedir/joblib/run/crossoverMutation/e73604a50621f820af988f1a80b5a8ab/metadata.json
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new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/e87c1dbfa0b3e495c68e80996b514b54/metadata.json b/cachedir/joblib/run/crossoverMutation/e87c1dbfa0b3e495c68e80996b514b54/metadata.json
new file mode 100644
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new file mode 100644
index 0000000..fb18e06
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/e887d7fb6e436a34991cfcc38915e32e/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/e88f514970c1cdcae4615edfcb1ccf3c/metadata.json b/cachedir/joblib/run/crossoverMutation/e88f514970c1cdcae4615edfcb1ccf3c/metadata.json
new file mode 100644
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new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/eb7ef5a185bb2f8b4658c11184db2a97/metadata.json b/cachedir/joblib/run/crossoverMutation/eb7ef5a185bb2f8b4658c11184db2a97/metadata.json
new file mode 100644
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--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/ec2369f61d27d806419ab1706c140313/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/ec6668c01cc92837fac32a4dc5e537e5/metadata.json b/cachedir/joblib/run/crossoverMutation/ec6668c01cc92837fac32a4dc5e537e5/metadata.json
new file mode 100644
index 0000000..a92e3af
--- /dev/null
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diff --git a/cachedir/joblib/run/crossoverMutation/ec7e9e75bf975013c75e6b8303419778/metadata.json b/cachedir/joblib/run/crossoverMutation/ec7e9e75bf975013c75e6b8303419778/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/ecb029e71d40918086c5885e677a755d/metadata.json b/cachedir/joblib/run/crossoverMutation/ecb029e71d40918086c5885e677a755d/metadata.json
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index 0000000..82c10b2
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/ecb029e71d40918086c5885e677a755d/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/ed978f7f664fd86f0e94d04a169bbabb/metadata.json b/cachedir/joblib/run/crossoverMutation/ed978f7f664fd86f0e94d04a169bbabb/metadata.json
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--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/ee4156c7b82d905872e7caa955a3fac7/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/f9420e71d292e005e264a34023f71f99/metadata.json b/cachedir/joblib/run/crossoverMutation/f9420e71d292e005e264a34023f71f99/metadata.json
new file mode 100644
index 0000000..ddad1ae
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/f9420e71d292e005e264a34023f71f99/metadata.json
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diff --git a/cachedir/joblib/run/crossoverMutation/f94c52bccd6dcf32b5703ac4c955d504/metadata.json b/cachedir/joblib/run/crossoverMutation/f94c52bccd6dcf32b5703ac4c955d504/metadata.json
new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/f9fe75e2b991e7a323f31ce71c334ef5/metadata.json b/cachedir/joblib/run/crossoverMutation/f9fe75e2b991e7a323f31ce71c334ef5/metadata.json
new file mode 100644
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diff --git a/cachedir/joblib/run/crossoverMutation/fbf21c1711b303f18788a6aea24f439d/metadata.json b/cachedir/joblib/run/crossoverMutation/fbf21c1711b303f18788a6aea24f439d/metadata.json
new file mode 100644
index 0000000..98ac0db
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diff --git a/cachedir/joblib/run/crossoverMutation/fc34ea2cab956e60d6e2c21475fb8b56/metadata.json b/cachedir/joblib/run/crossoverMutation/fc34ea2cab956e60d6e2c21475fb8b56/metadata.json
new file mode 100644
index 0000000..a9dca79
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+++ b/cachedir/joblib/run/crossoverMutation/fc34ea2cab956e60d6e2c21475fb8b56/metadata.json
@@ -0,0 +1 @@
+{"duration": 0.4748647212982178, "input_args": {"XData": "     Fbs  Slope  Trestbps  Exang  Thalach  Age  Chol  Sex  Oldpeak  Restecg  Cp  Ca  Thal\n0      1      0       145      0      150   63   233    1      2.3        0   3   0     1\n1      0      0       130      0      187   37   250    1      3.5        1   2   0     2\n2      0      2       130      0      172   41   204    0      1.4        0   1   0     2\n3      0      2       120      0      178   56   236    1      0.8        1   1   0     2\n4      0      2       120      1      163   57   354    0      0.6        1   0   0     2\n..   ...    ...       ...    ...      ...  ...   ...  ...      ...      ...  ..  ..   ...\n298    0      1       140      1      123   57   241    0      0.2        1   0   0     3\n299    0      1       110      0      132   45   264    1      1.2        1   3   0     3\n300    1      1       144      0      141   68   193    1      3.4        1   0   2     3\n301    0      1       130      1      115   57   131    1      1.2        1   0   1     3\n302    0      1       130      0      174   57   236    0      0.0        0   1   1     2\n\n[303 rows x 13 columns]", "yData": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]", "clf": "KNeighborsClassifier(algorithm='brute', metric='manhattan', n_neighbors=91,\n                     weights='distance')", "params": "{'n_neighbors': [91], 'metric': ['manhattan'], 'algorithm': ['brute'], 'weights': ['distance']}", "eachAlgor": "'KNN'", "AlgorithmsIDsEnd": "521"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/crossoverMutation/fc8ad4e1dcb2de2d58c9a72b43c82878/metadata.json b/cachedir/joblib/run/crossoverMutation/fc8ad4e1dcb2de2d58c9a72b43c82878/metadata.json
new file mode 100644
index 0000000..74519d5
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/fc8ad4e1dcb2de2d58c9a72b43c82878/metadata.json
@@ -0,0 +1 @@
+{"duration": 0.825598955154419, "input_args": {"XData": "     Fbs  Slope  Trestbps  Exang  Thalach  Age  Chol  Sex  Oldpeak  Restecg  Cp  Ca  Thal\n0      1      0       145      0      150   63   233    1      2.3        0   3   0     1\n1      0      0       130      0      187   37   250    1      3.5        1   2   0     2\n2      0      2       130      0      172   41   204    0      1.4        0   1   0     2\n3      0      2       120      0      178   56   236    1      0.8        1   1   0     2\n4      0      2       120      1      163   57   354    0      0.6        1   0   0     2\n..   ...    ...       ...    ...      ...  ...   ...  ...      ...      ...  ..  ..   ...\n298    0      1       140      1      123   57   241    0      0.2        1   0   0     3\n299    0      1       110      0      132   45   264    1      1.2        1   3   0     3\n300    1      1       144      0      141   68   193    1      3.4        1   0   2     3\n301    0      1       130      1      115   57   131    1      1.2        1   0   1     3\n302    0      1       130      0      174   57   236    0      0.0        0   1   1     2\n\n[303 rows x 13 columns]", "yData": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]", "clf": "LogisticRegression(C=49, random_state=42)", "params": "{'C': [49], 'max_iter': [100], 'solver': ['lbfgs'], 'penalty': ['l2']}", "eachAlgor": "'LR'", "AlgorithmsIDsEnd": "619"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/crossoverMutation/fd32e1885ced097fa654fbc51448a635/output.pkl b/cachedir/joblib/run/crossoverMutation/fd32e1885ced097fa654fbc51448a635/output.pkl
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diff --git a/cachedir/joblib/run/crossoverMutation/func_code.py b/cachedir/joblib/run/crossoverMutation/func_code.py
new file mode 100644
index 0000000..bb451a8
--- /dev/null
+++ b/cachedir/joblib/run/crossoverMutation/func_code.py
@@ -0,0 +1,91 @@
+# first line: 1887
+@memory.cache
+def crossoverMutation(XData, yData, clf, params, eachAlgor, AlgorithmsIDsEnd):
+    print(clf)
+    search = GridSearchCV(    
+    estimator=clf, param_grid=params, cv=crossValidation, refit='accuracy', 
+    scoring=scoring, verbose=0, n_jobs=-1)
+
+    # fit and extract the probabilities
+    search.fit(XData, yData)
+
+    # process the results
+    cv_results = []
+    cv_results.append(search.cv_results_)
+    df_cv_results = pd.DataFrame.from_dict(cv_results)
+
+    # number of models stored
+    number_of_models = len(df_cv_results.iloc[0][0])
+
+    # initialize results per row
+    df_cv_results_per_row = []
+
+    # loop through number of models
+    modelsIDs = []
+    for i in range(number_of_models):
+        number = AlgorithmsIDsEnd+i
+        modelsIDs.append(eachAlgor+str(number))
+         # initialize results per item
+        df_cv_results_per_item = []
+        for column in df_cv_results.iloc[0]:
+            df_cv_results_per_item.append(column[i])
+        df_cv_results_per_row.append(df_cv_results_per_item)
+
+    # store the results into a pandas dataframe
+    df_cv_results_classifiers = pd.DataFrame(data = df_cv_results_per_row, columns= df_cv_results.columns)
+
+    # copy and filter in order to get only the metrics
+    metrics = df_cv_results_classifiers.copy()
+    metrics = metrics.filter(['mean_test_accuracy','mean_test_precision_macro','mean_test_recall_macro','mean_test_f1_macro','mean_test_roc_auc_ovo']) 
+
+    # concat parameters and performance
+    parametersPerformancePerModel = pd.DataFrame(df_cv_results_classifiers['params'])
+    parametersLocal = parametersPerformancePerModel['params'].copy()
+
+    Models = []
+    for index, items in enumerate(parametersLocal):
+        Models.append(index)
+
+    parametersLocalNew = [ parametersLocal[your_key] for your_key in Models ]
+
+    perModelProb = []
+    
+    resultsWeighted = []
+    resultsCorrCoef = []
+    resultsLogLoss = []
+    resultsLogLossFinal = []
+
+    # influence calculation for all the instances
+    inputs = range(len(XData))
+    num_cores = multiprocessing.cpu_count()
+    
+    for eachModelParameters in parametersLocalNew:
+        clf.set_params(**eachModelParameters)
+        clf.fit(XData, yData) 
+        yPredict = clf.predict(XData)
+        yPredict = np.nan_to_num(yPredict)
+        yPredictProb = cross_val_predict(clf, XData, yData, cv=crossValidation, method='predict_proba')
+        yPredictProb = np.nan_to_num(yPredictProb)
+        perModelProb.append(yPredictProb.tolist())
+
+        resultsWeighted.append(geometric_mean_score(yData, yPredict, average='macro'))
+        resultsCorrCoef.append(matthews_corrcoef(yData, yPredict))
+        resultsLogLoss.append(log_loss(yData, yPredictProb, normalize=True))
+
+    maxLog = max(resultsLogLoss)
+    minLog = min(resultsLogLoss)
+    for each in resultsLogLoss:
+        resultsLogLossFinal.append((each-minLog)/(maxLog-minLog))
+
+    metrics.insert(5,'geometric_mean_score_macro',resultsWeighted)
+    metrics.insert(6,'matthews_corrcoef',resultsCorrCoef)
+    metrics.insert(7,'log_loss',resultsLogLossFinal)
+
+    perModelProbPandas = pd.DataFrame(perModelProb)
+
+    results.append(modelsIDs)
+    results.append(parametersPerformancePerModel)
+    results.append(metrics)
+    results.append(perModelProbPandas)
+
+    return results
diff --git a/cachedir/joblib/run/randomSearch/0233c44eb4aa993eee9e8a7676132392/metadata.json b/cachedir/joblib/run/randomSearch/0233c44eb4aa993eee9e8a7676132392/metadata.json
new file mode 100644
index 0000000..ad69f73
--- /dev/null
+++ b/cachedir/joblib/run/randomSearch/0233c44eb4aa993eee9e8a7676132392/metadata.json
@@ -0,0 +1 @@
+{"duration": 15.748210191726685, "input_args": {"XData": "     petal_w  sepal_w  sepal_l  petal_l\n0        2.5      3.3      6.3      6.0\n1        1.9      2.7      5.8      5.1\n2        2.1      3.0      7.1      5.9\n3        1.8      2.9      6.3      5.6\n4        2.2      3.0      6.5      5.8\n..       ...      ...      ...      ...\n145      0.3      3.0      4.8      1.4\n146      0.2      3.8      5.1      1.6\n147      0.2      3.2      4.6      1.4\n148      0.2      3.7      5.3      1.5\n149      0.2      3.3      5.0      1.4\n\n[150 rows x 4 columns]", "yData": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]", "clf": "LogisticRegression(C=12, max_iter=200, penalty='none', random_state=42,\n                   solver='newton-cg')", "params": "{'C': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99], 'max_iter': [50, 100, 150, 200, 250, 300, 350, 400, 450], 'solver': ['lbfgs', 'newton-cg', 'sag', 'saga'], 'penalty': ['l2', 'none']}", "eachAlgor": "'LR'", "AlgorithmsIDsEnd": "100", "crossValidation": "5", "randomSear": "100"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/randomSearch/023f3d699445152f415b347092e29daf/output.pkl b/cachedir/joblib/run/randomSearch/023f3d699445152f415b347092e29daf/output.pkl
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diff --git a/cachedir/joblib/run/randomSearch/02d0fcb09c77877347f9a2d49bb3df9d/metadata.json b/cachedir/joblib/run/randomSearch/02d0fcb09c77877347f9a2d49bb3df9d/metadata.json
new file mode 100644
index 0000000..8bcda2b
--- /dev/null
+++ b/cachedir/joblib/run/randomSearch/02d0fcb09c77877347f9a2d49bb3df9d/metadata.json
@@ -0,0 +1 @@
+{"duration": 56.42441511154175, "input_args": {"XData": "     petal_w  sepal_w  sepal_l  petal_l\n0        2.5      3.3      6.3      6.0\n1        1.9      2.7      5.8      5.1\n2        2.1      3.0      7.1      5.9\n3        1.8      2.9      6.3      5.6\n4        2.2      3.0      6.5      5.8\n..       ...      ...      ...      ...\n145      0.3      3.0      4.8      1.4\n146      0.2      3.8      5.1      1.6\n147      0.2      3.2      4.6      1.4\n148      0.2      3.7      5.3      1.5\n149      0.2      3.3      5.0      1.4\n\n[150 rows x 4 columns]", "yData": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]", "clf": "RandomForestClassifier(max_depth=6, n_estimators=35, random_state=42)", "params": "{'n_estimators': [20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99], 'max_depth': [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'criterion': ['gini', 'entropy']}", "eachAlgor": "'RF'", "AlgorithmsIDsEnd": "300", "crossValidation": "5", "randomSear": "100"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/randomSearch/08332aff2a49ee38cccf65e4b6719bef/output.pkl b/cachedir/joblib/run/randomSearch/08332aff2a49ee38cccf65e4b6719bef/output.pkl
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diff --git a/cachedir/joblib/run/randomSearch/14c6fb6b0e094cba60df823ddd4aa7ba/metadata.json b/cachedir/joblib/run/randomSearch/14c6fb6b0e094cba60df823ddd4aa7ba/metadata.json
new file mode 100644
index 0000000..d362ca7
--- /dev/null
+++ b/cachedir/joblib/run/randomSearch/14c6fb6b0e094cba60df823ddd4aa7ba/metadata.json
@@ -0,0 +1 @@
+{"duration": 44.04567885398865, "input_args": {"XData": "     petal_w  sepal_w  sepal_l  petal_l\n0        2.5      3.3      6.3      6.0\n1        1.9      2.7      5.8      5.1\n2        2.1      3.0      7.1      5.9\n3        1.8      2.9      6.3      5.6\n4        2.2      3.0      6.5      5.8\n..       ...      ...      ...      ...\n145      0.3      3.0      4.8      1.4\n146      0.2      3.8      5.1      1.6\n147      0.2      3.2      4.6      1.4\n148      0.2      3.7      5.3      1.5\n149      0.2      3.3      5.0      1.4\n\n[150 rows x 4 columns]", "yData": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]", "clf": "MLPClassifier(activation='tanh', alpha=0.00021, hidden_layer_sizes=(98, 2),\n              max_iter=100, random_state=42, tol=0.00041000000000000005)", "params": "{'hidden_layer_sizes': [(60, 3), (61, 1), (62, 1), (63, 3), (64, 2), (65, 1), (66, 1), (67, 1), (68, 3), (69, 1), (70, 3), (71, 3), (72, 3), (73, 1), (74, 3), (75, 2), (76, 1), (77, 1), (78, 1), (79, 1), (80, 1), (81, 3), (82, 3), (83, 1), (84, 3), (85, 1), (86, 3), (87, 3), (88, 3), (89, 3), (90, 2), (91, 1), (92, 2), (93, 3), (94, 2), (95, 1), (96, 1), (97, 3), (98, 2), (99, 2), (100, 2), (101, 1), (102, 1), (103, 2), (104, 1), (105, 1), (106, 2), (107, 1), (108, 2), (109, 2), (110, 3), (111, 2), (112, 1), (113, 3), (114, 2), (115, 3), (116, 1), (117, 2), (118, 1), (119, 3)], 'alpha': [1e-05, 0.00021, 0.00041000000000000005, 0.0006100000000000001, 0.0008100000000000001], 'tol': [1e-05, 0.00041000000000000005, 0.0008100000000000001], 'max_iter': [100], 'activation': ['relu', 'identity', 'logistic', 'tanh'], 'solver': ['adam', 'sgd']}", "eachAlgor": "'MLP'", "AlgorithmsIDsEnd": "200", "crossValidation": "5", "randomSear": "100"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/randomSearch/298c741b16387032b4970e0bf7b4d44d/output.pkl b/cachedir/joblib/run/randomSearch/298c741b16387032b4970e0bf7b4d44d/output.pkl
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index 0000000..7d0cb52
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diff --git a/cachedir/joblib/run/randomSearch/3a7a62fa0a946e91708644a3f7139764/output.pkl b/cachedir/joblib/run/randomSearch/3a7a62fa0a946e91708644a3f7139764/output.pkl
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index 0000000..a80fa1e
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diff --git a/cachedir/joblib/run/randomSearch/3a91bd3b78c9bedcb3a485f2a7d96de9/metadata.json b/cachedir/joblib/run/randomSearch/3a91bd3b78c9bedcb3a485f2a7d96de9/metadata.json
new file mode 100644
index 0000000..4bb5b1d
--- /dev/null
+++ b/cachedir/joblib/run/randomSearch/3a91bd3b78c9bedcb3a485f2a7d96de9/metadata.json
@@ -0,0 +1 @@
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diff --git a/cachedir/joblib/run/randomSearch/5cb76a5ec6b15f4e5338d8f0e02a51a9/metadata.json b/cachedir/joblib/run/randomSearch/5cb76a5ec6b15f4e5338d8f0e02a51a9/metadata.json
new file mode 100644
index 0000000..79a3356
--- /dev/null
+++ b/cachedir/joblib/run/randomSearch/5cb76a5ec6b15f4e5338d8f0e02a51a9/metadata.json
@@ -0,0 +1 @@
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diff --git a/cachedir/joblib/run/randomSearch/69d3c0c3197dce7b17dd03ed1e2cbea8/metadata.json b/cachedir/joblib/run/randomSearch/69d3c0c3197dce7b17dd03ed1e2cbea8/metadata.json
new file mode 100644
index 0000000..73e0398
--- /dev/null
+++ b/cachedir/joblib/run/randomSearch/69d3c0c3197dce7b17dd03ed1e2cbea8/metadata.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/cachedir/joblib/run/randomSearch/6cc24c6e86c9c326db7a91dacb5c571c/metadata.json b/cachedir/joblib/run/randomSearch/6cc24c6e86c9c326db7a91dacb5c571c/metadata.json
new file mode 100644
index 0000000..25c9b5f
--- /dev/null
+++ b/cachedir/joblib/run/randomSearch/6cc24c6e86c9c326db7a91dacb5c571c/metadata.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/cachedir/joblib/run/randomSearch/770092048899606fb468cb486c09e85f/output.pkl b/cachedir/joblib/run/randomSearch/770092048899606fb468cb486c09e85f/output.pkl
new file mode 100644
index 0000000..064b218
Binary files /dev/null and b/cachedir/joblib/run/randomSearch/770092048899606fb468cb486c09e85f/output.pkl differ
diff --git a/cachedir/joblib/run/randomSearch/7777ac9a85620a4408a6b2b9cba93e83/metadata.json b/cachedir/joblib/run/randomSearch/7777ac9a85620a4408a6b2b9cba93e83/metadata.json
new file mode 100644
index 0000000..0025c69
--- /dev/null
+++ b/cachedir/joblib/run/randomSearch/7777ac9a85620a4408a6b2b9cba93e83/metadata.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/cachedir/joblib/run/randomSearch/8c20a6c662b5702e3222a77dc9f690b5/metadata.json b/cachedir/joblib/run/randomSearch/8c20a6c662b5702e3222a77dc9f690b5/metadata.json
new file mode 100644
index 0000000..6a246f1
--- /dev/null
+++ b/cachedir/joblib/run/randomSearch/8c20a6c662b5702e3222a77dc9f690b5/metadata.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/cachedir/joblib/run/randomSearch/916645f2714dbe0f03e7d14ebb499742/metadata.json b/cachedir/joblib/run/randomSearch/916645f2714dbe0f03e7d14ebb499742/metadata.json
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index 0000000..2d38299
--- /dev/null
+++ b/cachedir/joblib/run/randomSearch/916645f2714dbe0f03e7d14ebb499742/metadata.json
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diff --git a/cachedir/joblib/run/randomSearch/930d6c1f40e021bcafe39867fadebf13/metadata.json b/cachedir/joblib/run/randomSearch/930d6c1f40e021bcafe39867fadebf13/metadata.json
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diff --git a/cachedir/joblib/run/randomSearch/b8be36d2b6cd4225fa2398cecd53ebb1/metadata.json b/cachedir/joblib/run/randomSearch/b8be36d2b6cd4225fa2398cecd53ebb1/metadata.json
new file mode 100644
index 0000000..f69fb28
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+++ b/cachedir/joblib/run/randomSearch/f24877f788958e35ec26d5cbf1f1daf0/metadata.json
@@ -0,0 +1 @@
+{"duration": 9.057796001434326, "input_args": {"XData": "    petal_width  sepal_length  petal_length  sepal_width\n0           2.5           6.3           6.0          3.3\n1           1.9           5.8           5.1          2.7\n2           2.1           7.1           5.9          3.0\n3           1.8           6.3           5.6          2.9\n4           2.2           6.5           5.8          3.0\n..          ...           ...           ...          ...\n95          1.2           5.7           4.2          3.0\n96          1.3           5.7           4.2          2.9\n97          1.3           6.2           4.3          2.9\n98          1.1           5.1           3.0          2.5\n99          1.3           5.7           4.1          2.8\n\n[100 rows x 4 columns]", "yData": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]", "clf": "LogisticRegression(C=81, max_iter=200, penalty='none', random_state=42,\n                   solver='newton-cg')", "params": "{'C': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99], 'max_iter': [50, 100, 150, 200, 250, 300, 350, 400, 450], 'solver': ['lbfgs', 'newton-cg', 'sag', 'saga'], 'penalty': ['l2', 'none']}", "eachAlgor": "'LR'", "AlgorithmsIDsEnd": "100", "crossValidation": "5", "randomSear": "100"}}
\ No newline at end of file
diff --git a/cachedir/joblib/run/randomSearch/f4255a240cb404303d000d26c5a47e2d/output.pkl b/cachedir/joblib/run/randomSearch/f4255a240cb404303d000d26c5a47e2d/output.pkl
new file mode 100644
index 0000000..78178c7
Binary files /dev/null and b/cachedir/joblib/run/randomSearch/f4255a240cb404303d000d26c5a47e2d/output.pkl differ
diff --git a/cachedir/joblib/run/randomSearch/func_code.py b/cachedir/joblib/run/randomSearch/func_code.py
new file mode 100644
index 0000000..b07bb3e
--- /dev/null
+++ b/cachedir/joblib/run/randomSearch/func_code.py
@@ -0,0 +1,91 @@
+# first line: 741
+@memory.cache
+def randomSearch(XData, yData, clf, params, eachAlgor, AlgorithmsIDsEnd,crossValidation,randomSear):
+    print('inside')
+    print(clf)
+    search = RandomizedSearchCV(    
+        estimator=clf, param_distributions=params, n_iter=randomSear,
+        cv=crossValidation, refit='accuracy', scoring=scoring,
+        verbose=0, n_jobs=-1)
+    
+    # fit and extract the probabilities
+    search.fit(XData, yData)
+
+    # process the results
+    cv_results = []
+    cv_results.append(search.cv_results_)
+    df_cv_results = pd.DataFrame.from_dict(cv_results)
+
+    # number of models stored
+    number_of_models = len(df_cv_results.iloc[0][0])
+
+    # initialize results per row
+    df_cv_results_per_row = []
+
+    # loop through number of models
+    modelsIDs = []
+    for i in range(number_of_models):
+        number = AlgorithmsIDsEnd+i
+        modelsIDs.append(eachAlgor+str(number))
+         # initialize results per item
+        df_cv_results_per_item = []
+        for column in df_cv_results.iloc[0]:
+            df_cv_results_per_item.append(column[i])
+        df_cv_results_per_row.append(df_cv_results_per_item)
+
+    # store the results into a pandas dataframe
+    df_cv_results_classifiers = pd.DataFrame(data = df_cv_results_per_row, columns= df_cv_results.columns)
+
+    # copy and filter in order to get only the metrics
+    metrics = df_cv_results_classifiers.copy()
+    metrics = metrics.filter(['mean_test_accuracy','mean_test_precision_macro','mean_test_recall_macro','mean_test_f1_macro','mean_test_roc_auc_ovo']) 
+    # concat parameters and performance
+    parametersPerformancePerModel = pd.DataFrame(df_cv_results_classifiers['params'])
+    parametersLocal = parametersPerformancePerModel['params'].copy()
+
+    Models = []
+    for index, items in enumerate(parametersLocal):
+        Models.append(index)
+    parametersLocalNew = [ parametersLocal[your_key] for your_key in Models ]
+
+    perModelProb = []
+    
+    resultsWeighted = []
+    resultsCorrCoef = []
+    resultsLogLoss = []
+    resultsLogLossFinal = []
+
+    # influence calculation for all the instances
+    inputs = range(len(XData))
+    num_cores = multiprocessing.cpu_count()
+    
+    for eachModelParameters in parametersLocalNew:
+        clf.set_params(**eachModelParameters)
+        clf.fit(XData, yData) 
+        yPredict = clf.predict(XData)
+        yPredict = np.nan_to_num(yPredict)
+        yPredictProb = cross_val_predict(clf, XData, yData, cv=crossValidation, method='predict_proba')
+        yPredictProb = np.nan_to_num(yPredictProb)
+        perModelProb.append(yPredictProb.tolist())
+
+        resultsWeighted.append(geometric_mean_score(yData, yPredict, average='macro'))
+        resultsCorrCoef.append(matthews_corrcoef(yData, yPredict))
+        resultsLogLoss.append(log_loss(yData, yPredictProb, normalize=True))
+
+    maxLog = max(resultsLogLoss)
+    minLog = min(resultsLogLoss)
+    for each in resultsLogLoss:
+        resultsLogLossFinal.append((each-minLog)/(maxLog-minLog))
+
+    metrics.insert(5,'geometric_mean_score_macro',resultsWeighted)
+    metrics.insert(6,'matthews_corrcoef',resultsCorrCoef)
+    metrics.insert(7,'log_loss',resultsLogLossFinal)
+
+    perModelProbPandas = pd.DataFrame(perModelProb)
+
+    results.append(modelsIDs)
+    results.append(parametersPerformancePerModel)
+    results.append(metrics)
+    results.append(perModelProbPandas)
+
+    return results