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Task 167132 (Supervised Classification) Speech Uploaded 12-03-2018 by Michiel Verburg
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sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.c lassification.KNeighborsClassifier,svc=sklearn.pipeline.Pipeline(preprocess ing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.dec omposition.pca.PCA,classifier=sklearn.svm.classes.SVC),lr=sklearn.linear_mo del.logistic.LogisticRegression)(1)	Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(16)_C	1.0
sklearn.svm.classes.SVC(16)_cache_size	200
sklearn.svm.classes.SVC(16)_class_weight	"balanced"
sklearn.svm.classes.SVC(16)_coef0	0.0
sklearn.svm.classes.SVC(16)_decision_function_shape	"ovr"
sklearn.svm.classes.SVC(16)_degree	3
sklearn.svm.classes.SVC(16)_gamma	"auto"
sklearn.svm.classes.SVC(16)_kernel	"linear"
sklearn.svm.classes.SVC(16)_max_iter	-1
sklearn.svm.classes.SVC(16)_probability	true
sklearn.svm.classes.SVC(16)_random_state	24682
sklearn.svm.classes.SVC(16)_shrinking	true
sklearn.svm.classes.SVC(16)_tol	0.001
sklearn.svm.classes.SVC(16)_verbose	false
sklearn.neighbors.classification.KNeighborsClassifier(20)_algorithm	"auto"
sklearn.neighbors.classification.KNeighborsClassifier(20)_leaf_size	30
sklearn.neighbors.classification.KNeighborsClassifier(20)_metric	"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(20)_metric_params	null
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_jobs	1
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_neighbors	1
sklearn.neighbors.classification.KNeighborsClassifier(20)_p	2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights	"uniform"
sklearn.linear_model.logistic.LogisticRegression(10)_C	0.1
sklearn.linear_model.logistic.LogisticRegression(10)_class_weight	"balanced"
sklearn.linear_model.logistic.LogisticRegression(10)_dual	false
sklearn.linear_model.logistic.LogisticRegression(10)_fit_intercept	true
sklearn.linear_model.logistic.LogisticRegression(10)_intercept_scaling	1
sklearn.linear_model.logistic.LogisticRegression(10)_max_iter	100
sklearn.linear_model.logistic.LogisticRegression(10)_multi_class	"ovr"
sklearn.linear_model.logistic.LogisticRegression(10)_n_jobs	1
sklearn.linear_model.logistic.LogisticRegression(10)_penalty	"l2"
sklearn.linear_model.logistic.LogisticRegression(10)_random_state	62089
sklearn.linear_model.logistic.LogisticRegression(10)_solver	"liblinear"
sklearn.linear_model.logistic.LogisticRegression(10)_tol	0.0001
sklearn.linear_model.logistic.LogisticRegression(10)_verbose	0
sklearn.linear_model.logistic.LogisticRegression(10)_warm_start	false
sklearn.decomposition.pca.PCA(2)_copy	true
sklearn.decomposition.pca.PCA(2)_iterated_power	"auto"
sklearn.decomposition.pca.PCA(2)_n_components	6
sklearn.decomposition.pca.PCA(2)_random_state	41672
sklearn.decomposition.pca.PCA(2)_svd_solver	"auto"
sklearn.decomposition.pca.PCA(2)_tol	0.0
sklearn.decomposition.pca.PCA(2)_whiten	false
sklearn.preprocessing.data.RobustScaler(2)_copy	true
sklearn.preprocessing.data.RobustScaler(2)_quantile_range	[25.0, 75.0]
sklearn.preprocessing.data.RobustScaler(2)_with_centering	true
sklearn.preprocessing.data.RobustScaler(2)_with_scaling	true
sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.SVC)(1)_memory	null
sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.SVC),lr=sklearn.linear_model.logistic.LogisticRegression)(1)_flatten_transform	null
sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.SVC),lr=sklearn.linear_model.logistic.LogisticRegression)(1)_n_jobs	1
sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.SVC),lr=sklearn.linear_model.logistic.LogisticRegression)(1)_voting	"soft"
sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.RobustScaler,dimension_reduction=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.SVC),lr=sklearn.linear_model.logistic.LogisticRegression)(1)_weights	null