From 597210c3a0fd8d199659a562714d498b8c9e81b6 Mon Sep 17 00:00:00 2001
From: Angelos Chatzimparmpas <angelos.chatzimparmpas@gmail.com>
Date: Tue, 21 Jul 2020 15:22:02 +0200
Subject: [PATCH] several measurements

---
 __pycache__/run.cpython-37.pyc                | Bin 8805 -> 11859 bytes
 .../src/components/DataSetExecController.vue  |   6 +-
 frontend/src/components/FeatureSpace2.vue     |   4 +-
 frontend/src/components/Main.vue              |   2 +-
 run.py                                        | 143 ++++++++++++++++--
 5 files changed, 139 insertions(+), 16 deletions(-)

diff --git a/__pycache__/run.cpython-37.pyc b/__pycache__/run.cpython-37.pyc
index 98323e6bda3872127db3d67432f55540435a3de0..3a3c7df01060f21f691fd804e72abad108e40be1 100644
GIT binary patch
delta 5681
zcmcIoOK=;<5#3pWAczkM{y=~qkN^pi;7=q-iIOZSkwwz-PnIpkQZ}~X6=q3-1hCNT
zQX=JHHn9}{Qgm6_{9L(!Wjm=Ha#B?;sY<1CbLEsuazS#i^Q&^=gAY07kV^M}Tmpzx
z%BMmUd%An3`}Oq9&i3q|7Jv0Z%cFsSSAxHf{t`-$J#n`sOg_6i`V)&v)SHXu2b2LK
z0q@HV=3`1s@cvvpKcoy1Nh8|uZK5P-KufHT(3Vq@=GGFR8Pz;mg0|8iZOf7@q3ye}
zGNv`t4%$h(R%II6mBAuOyJ?t4K<?R<X)o=&Bi$xoJq{zS`l0<*L!)$Hf9S-0oDNov
zjM4c1$Voaxhwn(r6iv_(Xs78Y9fS7BeLN&-_>>dZIGxycF(YE0ta3j^r?F3&rAO!t
zI7?C2B`G;;e@5Oroh0SJGX?FuZY~uvI@K5`A~#f)RSOv{oh_{7R5Pm=(kp7l)UngA
zQku@_1;bPe?|nm-?LAl6&xT-W*f5gBy&t<GvU>^nCHpt-MKWynG(AZkySLIbEWgl$
z`UsL<Bm_v=mDkk5Cygjak;IUov$AhxHhojeuCAFHWeLzE8|#L!r*SZLu@U>v&0BLx
zWXF(<Bbh`pg=8AZD3S>zN07`QnYHhFyH3v|JBK8N<QS5pNEVPBM{)wmNhFUTIfLYL
zNKV;*@SZ29?MdH6?DMENi{w!tW$z`(Q%1Y2874c2+C_WIcP4rf`&=v80%gwvtN1Fz
z&WUl)*}wL^OrEii`WIrAJfh(;ngp3<vaEJPTh8XR3u<2by1nbS$=bbGV3!P?$8nD%
zc>)LfH;Xx4r5asSO_jBw{(}9>mgE>Zg{350K-|!^3Qh%(!0?>PsrhSEJ#)&Aw`Ss%
z!E9aFunqL$jAc0xPut%MEzAg=7%P|M>6tRolca9+-@T`DS;Nfe`Qn)+yCryx^w>+m
zv1h-4KA%T&1<4nYC_u`tj9%O>d#I)r1?Sq(whi{8=rVL>mc3_lxyvGcgQd|-q*%3o
z8jQ|}^{!fF=uY}s78<3!Ix!bjX29-x$@aJPle|6Nc0RB_Wii)f+iL3~llHgTo+Pi{
z`?&3gvimTT4^IxWf7?0Z&SPu^%>C@X?+2&TfM>#h@e;d)<g#4~r6#Mg%XCy1f&5E?
z*>%v~vOny?%mUcxL&3f)z;Nutr}8eY^M4Xa$^J(uY2Czdw}2?kS8*eXEq)c13<*w^
zWssOiaB<lt60x2ta@#<Z=55FLB~;!(B9{9;3tjfyR9PWgST)M__q(Hgi|C;h9XzKQ
zn>o`ELA-)4^7cpFM}j-Zei?~{<SX_-xF>N7S&rnZNNRQkDku=uekr_5sQqd97UX<2
zGGgHomV{>@b3>dEir0i^KW$`mrX@Yhi-zJ*@*{T`J02-zxlm+JqP>f~j@@sdvM~?m
za<1%VBJ|3`C-#GQTARUpHm}0r{BvAO_XRMK<e=Oxvt8g|k6=?}b!ZyOFikbJ^lDDO
zrsmQsn}rOX^*=*DvT(!Rww0bA`J7nTQ+9iAs>6{lCmZ$ywXgKX$(#1A-T~j+i04DH
zYro$cpLXV`G!>afvl){Guvg63zkRWyyU6rwFzt8jzx9rFiWr?h*=sQT7xqkFKY7i*
z&^OYGmTvfOfPW+8wx18g?!Dg^AQtzQ{Cm<)3-^h(mHR~-<N?vPaqoJ7dT8@5+3|9p
z!~3}3;r%?|@B!+jzB>|kFT(3{r=9wR)Fh-18W564NS(9=BunDWLhLeIO0B$okL-j5
z*8yC&;5vZ|3$6>eh#BPV;JOFe4rqI!?S!@u+Ae7O%{CsoO=#<e>m8XD&33F+AowT`
zl{)tO+V|w05RaBRdB_5nQM0QAB5(s{*LpYi@&PDa+G)qGyferLMIK^2w(f&+N&1=$
zPI_(=pWs*Ih_n+cc+dl6F$R6z4)~`Ic${|&aO^|yZXO5lZa}o+0z3}vkO24bAqRYz
z4-4=FPgH^T)_^A*@C1N|_rV+3ngc$<!vY-p5IoFB06YwcBW9NcGamtVRDk>Wr~^L6
z#{_tiC#%5wYQU2YcoM)P4)`A(@Npgy;Mj-Y5k3y!5kMRl6Su~Joe<ywKH-2*@<{<c
z#iy#k`)k0b9PlYK4BI%e2V3q<34HauF0Bx#NPTxaX73x)dLM0%Kp*ZikosvCEbO!y
z<<qx`MZf@Z5P~p{2o6_eMsS#-S;1kvDG{WXA8~@56B-|%aWwNn<L9%E=BUsFc*@Zn
z<8xwa3w$10OWHZkj|#;JeoV9{0kWGflm;MSWR(E)g3uhV(i|6>6IGfMLUXc8b8=Nu
z2hG8f$BdcY_5SsEX$Uj4M_|gRb(MzA1nmC<1#c;h>`9K)S|bH(q_!F<RwE^9q-2dW
zRU<8cWE}z?ujxEdBb}_4Fmm2=7`Tvo>*T&VxxXUQ5Y+MA7uZ4F*8qi|eJmQc`ru&v
z1nbz#NuszY(~B86)Wshj>@N7n;=<?zvMO=uMgI;lB~BvJUHLj(4i4URSUx4?O2r{w
zjCBVy)*Bx1C|(zC=~ncTR@9hkf7}(e{(p$ghlmdbvHsV2dH)@h2ZLBdTrnP&J>MaU
zxC|}Bg1L<%)}##YO1OUNR@SJQXd`rVz`qd&B0>n_`oVEPIJqs0HMI5@QD&_$sO-L>
z<~B8>Ivgne<*T!m$^c6VQ9Uj>@en8-RzQ8Lb?Ju2w#_vtrv{(dP`8t#3<F>fD%&fS
zoApf`qaqPSI936QE1T0Z3Y7JXDL$xYG!w3vRNG>2L2tQHWlY^JyEhBj>zf+8hPEwe
z)&xV>)S{*YR<dT=WNN`!(OI53rDfR-H`0u1vLFt3<A%RhP!;zj4K7PYxe+W@wQ{3y
zQf|uVxy^h5)J2vpm}Qr#W^-jvQO#_egTTrzyri&iV?=IKN1@zEH}ge9l$+%yQ%|oO
zdLj9U{nzMOH>L>c#niyj_;dPAV^(PvWhStxLw0VTwci{#ZYjRXm8&wmN=Q}r%vB5X
zN=uc^S;$_MoT`)O>g0Kp1C^x0Wyylu-fWc&Vyaf0s}%uUFKBDd7XmOo6c(3Z#+BqF
z+lov3G%Q4R>ztmyHd|*3Kx>xcXmJ@*bYPpRw@uaALR8hTkkSLwxq8#NI@9@TQ)_W~
z{?K;5-gaJbJ^wh&Bv_m9#pP-Zro2{zNw3vl+Ck&5L<tvF%nwKwZd4(rYC7j?q<N*Y
zHkFrkQ_aoZSDU)8cJ98~d3JEo`wnhgeD2{Jg*dgb_WvE${-4>uA4plUhlro-C*mi!
z5b=|}MEsoo7LbEN*A5m@*#jg08;u|Azz^7?|3x5jI}twzYF}<}$srPS0y+rnpbdf>
z_{r=8dty+rN;pw`<-vjHfs>>NAFs5k3(-Li3KSoIE%yo@fjC}j^vLW7&^m`NUO2D^
z@0|vIWLlMW$X1j~i_(js9hu9VY&0=1Cnbr?SbSXfUbzbIRd`L43viy|ahPmS8u3t>
zReY6aGA+&<{2)*l6nhtRcQ6{fHA)Sx21pJpg3u@D><<T*ed1$@xJcizdt%W59*Ih0
z0gkI}_LjXATd|ZbV<V@*b$A+XUqz;8G{b<SymGP*!)H9x5Eo2iTJY2QrkTrX%n%>{
zHZ}NoCEg%PclA(H*K@|SpyJFed(!Cwe2z+|%MEI=D9+=R>?-?`^fDg%u$A!?2G<&U
z3?gJ}NM1!kk%%kfYsh_o1amGXS(Ok`d5ER*oPu~abJ`g!X^f}r!T4|k@yqtv_)w!I
I4fHhs6HpO;U;qFB

delta 2673
zcmb7`TTEO<7=U*UyN6}(OIcX%u*+o^kaDr~hO`t~Yq2dBtj)3Q_H<`}rMu^>bIx+9
z)Qy5RX(gr^HK{fc^vMS`h8Gi!jY$)I)c9h~n<hRq@x><-jj8j`64+KuBZO~e{@cv_
z^UoZ9Jpb#c?}*pyvhkmw5lXx^aLX4)_inX+nJ0)eEF+~6yGY|~6Lt^Uh)f!}q?tHL
zBlch~_N7n?VgIV6L`WG9;2<uamhi4siF-tG1rFg#KCW7oa2Qvw*p?CZZrQ=IrpU4u
z*9pr!Qd)N~tuHcdz>S+h+i(+ZUa=|dID(_Rjo}vD%G>x35!#9(wBy)jgbuOf__i*9
zJ8&l`l}>D*u*JJro%GSh-_ir*tL4d}b%1&f_LseSBkHJ><Rc(D!VZ;=q9(RdI)+9!
zzAtT&&R2oF5)cL;4$Gb)s&?N2V-c<add;A5PxU6|Nosn=B$!6HB<^^`gq{FnP|+wG
zcP-@GpxX*)2gCs#fKEUQAO`3HJOSwDQ2bM=v`OfwYO2RlnwqA)py~na2J{2^08aw;
z00sbi0s8<40rDVlKRf9@jt;PQ-JQ)(fnW%5h{JMCn5vc}lf*FTVUP~9U))0tCqZYQ
zN@<v$;$6jEFdGqer`eF_5_*<>;MwagBo-V;*w3C2y3YRaFhn+PdRI~OD9Dcip60MT
zxolcjF~P7c>I3;0JLr$cAV?fpXn{lKs%c_U5qJdLoP%jKa~Z2c``DZQWTaqBr-cul
zfhb$HG{uMeSun7-N63V&WJ%pU7SiMB5$iu)gXxrECiP5qXqYVo22d6IED#HwftVA3
zNx)ga3+%T*O+?{c%Wmk@v|PjK^rTp-LC=H5VZcQe3pP}VvwiqP;~qN2E(F6ZFG2`6
zWZ(=ja%t1BTsW09Q@W<oMLG-G5KDwZ?9*U(baSs_lOh)ZgJ^hCpCELuP#rP$AUKBd
z8)M}kOY(L~AD<<S9S!x!Fdw}FhtRt@*MH|#=eNV)_BJ{Wc#gTM`nrnJOw%CFaQrLN
zRO8Y))?W!J=99HQcCxp{WMKRFt-J#V{(n|-hs{*Q^Cm1e$Dx#+gYyuz{X7VDKo)Qb
z@Dc!yo>G7~?TgTx<50>Lx18Z@DWs@S3_Fy8<(yZkmeQsTiv_|BXqfE|hvWrtnPn%!
zyH8(*?#qBBz%>q~Vwh4@%(7WBVx{w-Uj)1Yc(hcg%B2_Bci~l}va{7!dE$SlZp+tl
zX`J7P<eYdQ6qm_we!@uVl*FCX1(C!X<$>Pz2H-`pBrQvigTI}wfckY1Ix;#YX-lS}
znhRG^6oshQG9EpZQB9qG4F@X2b7+$SQn^HL@E$J|Xo|cFuIx@tt@kVNkc0!h$?nyB
z;@+B-KEsx3`*v-OC*viXOJd*DMmpc%PL`Y@=8TT7`j7IfvS`lmq&J<uqAtdL^d`*d
z2Har2x=8odK9$leC2$?77qnv6p2hKkY@F(s`PNt2#kyF9Sm)M0=`uI}mc3V3kCxdN
zb#1<KK9>0(B*FNQ-StK`eDz+GpSG!<CD)pF-FD5l<QA=e$s^jpl2^1r)3fGW@~!#S
zZR-fx#K`~9DDcoISUfWQrfW7Z8(b@2=if*0$4>r*EIUQTTPznIV^$H3$klvl_xspe
zt)cub>fi&q<GTk6QSrB+C(2&DY>+d>o=WRU%b8V^S4MP76+5pZYL%LLV%E?#%MQ=0
zRhrb(xr}C5@|>E^5#E|QDB|V3`eu0Du+Q5L$Vmu)js4!XCqngkqgN>tUkTpr+wS&n
zcG>avea%HxBWlexL9&FZ@Ra@pr8COvJNl|h?2;3SU&)8WuT)t=Z?p1FWt733b`JjC
zaq@*^b<H3<gw-(Yj-)-j8V#_wIh+!G9~`^bNY}9e@re+x#;aUtNtEylp=wyq@c$-M
zb4HP~e54u_-W<iD<uchtdY#?vn#x<wL_$+DB$2R6)NIz0le#vQnx^N#67p$S4yxzi
zp8+nR1ds=)08z<MeDpQ|mQ=L<t@`BOP<~BwX)?qUV>3V=MjjN9oXpo<!@9ehQ2#&N
Cnrv?X

diff --git a/frontend/src/components/DataSetExecController.vue b/frontend/src/components/DataSetExecController.vue
index 2af79de..c428197 100644
--- a/frontend/src/components/DataSetExecController.vue
+++ b/frontend/src/components/DataSetExecController.vue
@@ -2,8 +2,8 @@
   <div>
     <label id="data" for="param-dataset" data-toggle="tooltip" data-placement="right" title="Tip: use one of the data sets already provided or upload a new file.">{{ dataset }}</label>
     <select id="selectFile" @change="selectDataSet()">
-        <option value="HeartC.csv" selected>Heart Disease</option>
-        <option value="IrisC.csv">Iris</option>
+        <option value="HeartC.csv">Heart Disease</option>
+        <option value="IrisC.csv" selected>Iris</option>
         <option value="local">Upload New File</option>
     </select>
     <button class="btn-outline-success"
@@ -34,7 +34,7 @@ export default {
   name: 'DataSetExecController',
   data () {
     return {
-      defaultDataSet: 'HeartC', // default value for the first data set
+      defaultDataSet: 'IrisC', // default value for the first data set
       searchText: 'Exploration of Features',
       resetText: 'Reset',
       dataset: 'Data set'
diff --git a/frontend/src/components/FeatureSpace2.vue b/frontend/src/components/FeatureSpace2.vue
index 8f8fab6..313f2b4 100644
--- a/frontend/src/components/FeatureSpace2.vue
+++ b/frontend/src/components/FeatureSpace2.vue
@@ -23,8 +23,8 @@ export default {
   },
   methods: {
       initializeNetwork () {   
-        var dataLoc = JSON.parse(this.dataFS2[1])
-        var listofNodes = this.dataFS2[4]
+        var dataLoc = JSON.parse(this.dataFS2[3])
+        var listofNodes = this.dataFS2[0]
 
         var nodes = []
         listofNodes.forEach(element => nodes.push({"name": element}))
diff --git a/frontend/src/components/Main.vue b/frontend/src/components/Main.vue
index 3a87d96..ced3cf2 100755
--- a/frontend/src/components/Main.vue
+++ b/frontend/src/components/Main.vue
@@ -215,7 +215,7 @@ export default Vue.extend({
       DataResults: '',
       keyNow: 1,
       instancesImportance: '',
-      RetrieveValueFile: 'HeartC', // this is for the default data set
+      RetrieveValueFile: 'IrisC', // this is for the default data set
       ClassifierIDsList: [],
       ClassifierIDsListCM: [],
       SelectedFeaturesPerClassifier: '',
diff --git a/run.py b/run.py
index 9dc18ac..2d0a881 100644
--- a/run.py
+++ b/run.py
@@ -18,6 +18,10 @@ from sklearn.svm import SVC
 from bayes_opt import BayesianOptimization
 from sklearn.model_selection import cross_validate
 from sklearn.model_selection import cross_val_predict
+from sklearn.preprocessing import OneHotEncoder
+
+from statsmodels.stats.outliers_influence import variance_inflation_factor
+from statsmodels.tools.tools import add_constant
 
 # this block of code is for the connection between the server, the database, and the client (plus routing)
 
@@ -498,26 +502,133 @@ def Seperation():
         else:
             quadrant4.append(index)
 
-    Datarows1 = XData.iloc[quadrant1, :]
-    Datarows2 = XData.iloc[quadrant2, :]
-    Datarows3 = XData.iloc[quadrant3, :]
-    Datarows4 = XData.iloc[quadrant4, :]
+    DataRows1 = XData.iloc[quadrant1, :]
+    DataRows2 = XData.iloc[quadrant2, :]
+    DataRows3 = XData.iloc[quadrant3, :]
+    DataRows4 = XData.iloc[quadrant4, :]
+    
+    corrMatrix1 = DataRows1.corr()
+    corrMatrix2 = DataRows2.corr()
+    corrMatrix3 = DataRows3.corr()
+    corrMatrix4 = DataRows4.corr()
+
+    DataRows1 = DataRows1.reset_index(drop=True)
+    DataRows2 = DataRows2.reset_index(drop=True)
+    DataRows3 = DataRows3.reset_index(drop=True)
+    DataRows4 = DataRows4.reset_index(drop=True)
+
+    targetRows1 = [yData[i] for i in quadrant1] 
+    targetRows2 = [yData[i] for i in quadrant2] 
+    targetRows3 = [yData[i] for i in quadrant3] 
+    targetRows4 = [yData[i] for i in quadrant4] 
+
+    targetRows1Arr = np.array(targetRows1)
+    targetRows2Arr = np.array(targetRows2)
+    targetRows3Arr = np.array(targetRows3)
+    targetRows4Arr = np.array(targetRows4)
+
+    uniqueTarget1 = unique(targetRows1)
+    uniqueTarget2 = unique(targetRows2)
+    uniqueTarget3 = unique(targetRows3)
+    uniqueTarget4 = unique(targetRows4)
+    
+    if (len(targetRows1Arr) > 0):
+        onehotEncoder1 = OneHotEncoder(sparse=False)
+        targetRows1Arr = targetRows1Arr.reshape(len(targetRows1Arr), 1)
+        onehotEncoder1 = onehotEncoder1.fit_transform(targetRows1Arr)
+        hotEncoderDF1 = pd.DataFrame(onehotEncoder1)
+        concatDF1 = pd.concat([DataRows1, hotEncoderDF1], axis=1)
+        corrMatrixComb1 = concatDF1.corr()
+        corrMatrixComb1 = corrMatrixComb1.iloc[:,-len(uniqueTarget1):]
+    else:
+        corrMatrixComb1 = pd.DataFrame()
+
+    if (len(targetRows2Arr) > 0):
+        onehotEncoder2 = OneHotEncoder(sparse=False)
+        targetRows2Arr = targetRows2Arr.reshape(len(targetRows2Arr), 1)
+        onehotEncoder2 = onehotEncoder2.fit_transform(targetRows2Arr)
+        hotEncoderDF2 = pd.DataFrame(onehotEncoder2)
+        concatDF2 = pd.concat([DataRows2, hotEncoderDF2], axis=1)
+        corrMatrixComb2 = concatDF2.corr()
+        corrMatrixComb2 = corrMatrixComb2.iloc[:,-len(uniqueTarget2):]
+    else:
+        corrMatrixComb2 = pd.DataFrame()
+
+    if (len(targetRows3Arr) > 0):
+        onehotEncoder3 = OneHotEncoder(sparse=False)
+        targetRows3Arr = targetRows3Arr.reshape(len(targetRows3Arr), 1)
+        onehotEncoder3 = onehotEncoder3.fit_transform(targetRows3Arr)
+        hotEncoderDF3 = pd.DataFrame(onehotEncoder3)
+        concatDF3 = pd.concat([DataRows3, hotEncoderDF3], axis=1)
+        corrMatrixComb3 = concatDF3.corr()
+        corrMatrixComb3 = corrMatrixComb3.iloc[:,-len(uniqueTarget3):]
+    else:
+        corrMatrixComb3 = pd.DataFrame()
+
+    if (len(targetRows4Arr) > 0):
+        onehotEncoder4 = OneHotEncoder(sparse=False)
+        targetRows4Arr = targetRows4Arr.reshape(len(targetRows4Arr), 1)
+        onehotEncoder4 = onehotEncoder4.fit_transform(targetRows4Arr)
+        hotEncoderDF4 = pd.DataFrame(onehotEncoder4)
+        concatDF4 = pd.concat([DataRows4, hotEncoderDF4], axis=1)
+        corrMatrixComb4 = concatDF4.corr()
+        corrMatrixComb4 = corrMatrixComb4.iloc[:,-len(uniqueTarget4):]
+    else:
+        corrMatrixComb4 = pd.DataFrame()
+
+    X1 = add_constant(DataRows1.dropna())
+
+    VIF1 = pd.Series([variance_inflation_factor(X1.values, i) 
+                for i in range(X1.shape[1])], 
+                index=X1.columns)
+    
+    print(VIF1)
+
+    targetRows1ArrDF = pd.DataFrame(targetRows1Arr)
+    targetRows2ArrDF = pd.DataFrame(targetRows2Arr)
+    targetRows3ArrDF = pd.DataFrame(targetRows3Arr)
+    targetRows4ArrDF = pd.DataFrame(targetRows4Arr)
+
+    concatAllDF1 = pd.concat([DataRows1, targetRows1ArrDF], axis=1)
+    concatAllDF2 = pd.concat([DataRows2, targetRows2ArrDF], axis=1)
+    concatAllDF3 = pd.concat([DataRows3, targetRows3ArrDF], axis=1)
+    concatAllDF4 = pd.concat([DataRows4, targetRows4ArrDF], axis=1)
+
+    corrMatrixCombTotal1 = concatAllDF1.corr()
+    corrMatrixCombTotal2 = concatAllDF2.corr()
+    corrMatrixCombTotal3 = concatAllDF3.corr()
+    corrMatrixCombTotal4 = concatAllDF4.corr()
+
+    corrMatrixCombTotal1 = pd.concat([corrMatrixCombTotal1.tail(1)])
+    corrMatrixCombTotal2 = pd.concat([corrMatrixCombTotal2.tail(1)])
+    corrMatrixCombTotal3 = pd.concat([corrMatrixCombTotal3.tail(1)])
+    corrMatrixCombTotal4 = pd.concat([corrMatrixCombTotal4.tail(1)])
 
     global packCorr
     packCorr = []
 
-    corrMatrix1 = Datarows1.corr()
-    corrMatrix2 = Datarows2.corr()
-    corrMatrix3 = Datarows3.corr()
-    corrMatrix4 = Datarows4.corr()
+    packCorr.append(list(XData.columns.values.tolist()))
+    packCorr.append(json.dumps(target_names))
 
     packCorr.append(corrMatrix1.to_json())
     packCorr.append(corrMatrix2.to_json())
     packCorr.append(corrMatrix3.to_json())
     packCorr.append(corrMatrix4.to_json())
 
-    packCorr.append(list(XData.columns.values.tolist()))
+    packCorr.append(corrMatrixComb1.to_json())
+    packCorr.append(corrMatrixComb2.to_json())
+    packCorr.append(corrMatrixComb3.to_json())
+    packCorr.append(corrMatrixComb4.to_json())
+
+    packCorr.append(corrMatrixCombTotal1.to_json())
+    packCorr.append(corrMatrixCombTotal2.to_json())
+    packCorr.append(corrMatrixCombTotal3.to_json())
+    packCorr.append(corrMatrixCombTotal4.to_json())
 
+    packCorr.append(json.dumps(uniqueTarget1))
+    packCorr.append(json.dumps(uniqueTarget2))
+    packCorr.append(json.dumps(uniqueTarget3))
+    packCorr.append(json.dumps(uniqueTarget4))
 
     return 'Everything Okay'
 
@@ -528,4 +639,16 @@ def SendCorrel():
     response = {    
         'correlResul': packCorr
     }
-    return jsonify(response)
\ No newline at end of file
+    return jsonify(response)
+
+def unique(list1): 
+  
+    # intilize a null list 
+    unique_list = [] 
+      
+    # traverse for all elements 
+    for x in list1: 
+        # check if exists in unique_list or not 
+        if x not in unique_list: 
+            unique_list.append(x) 
+    return unique_list
\ No newline at end of file