StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
https://doi.org/10.1109/TVCG.2020.3030352
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8.3 KiB
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fit_intercept=True,\n intercept_scaling=1, l1_ratio=None, max_iter=200,\n multi_class='auto', n_jobs=None, penalty='none',\n random_state=42, solver='saga', tol=0.0001, verbose=0,\n warm_start=False)", "params": "{'C': [0.5, 0.575, 0.6499999999999999, 0.7249999999999999, 0.7999999999999998, 0.8749999999999998, 0.9499999999999997, 1.0249999999999997, 1.0999999999999996, 1.1749999999999996, 1.2499999999999996, 1.3249999999999995, 1.3999999999999995, 1.4749999999999994, 1.5499999999999994, 1.6249999999999993, 1.6999999999999993, 1.7749999999999992, 1.8499999999999992, 1.9249999999999992], 'max_iter': [50, 100, 150, 200], 'solver': ['lbfgs', 'newton-cg', 'sag', 'saga'], 'penalty': ['l2', 'none']}", "eachAlgor": "'LR'", "AlgorithmsIDsEnd": "1356", "toggle": "0"}} |