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Task 167132 (Supervised Classification) Speech Uploaded 12-03-2018 by Michiel Verburg
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Flow

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),rf=sklearn.ensemble. forest.RandomForestClassifier)(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	26392
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.ensemble.forest.RandomForestClassifier(32)_bootstrap	true
sklearn.ensemble.forest.RandomForestClassifier(32)_class_weight	"balanced"
sklearn.ensemble.forest.RandomForestClassifier(32)_criterion	"gini"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_depth	null
sklearn.ensemble.forest.RandomForestClassifier(32)_max_features	"auto"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_leaf_nodes	null
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_decrease	0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_split	null
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_leaf	1
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_split	2
sklearn.ensemble.forest.RandomForestClassifier(32)_min_weight_fraction_leaf	0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_n_estimators	100
sklearn.ensemble.forest.RandomForestClassifier(32)_n_jobs	1
sklearn.ensemble.forest.RandomForestClassifier(32)_oob_score	false
sklearn.ensemble.forest.RandomForestClassifier(32)_random_state	25084
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose	0
sklearn.ensemble.forest.RandomForestClassifier(32)_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	22048
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),rf=sklearn.ensemble.forest.RandomForestClassifier)(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),rf=sklearn.ensemble.forest.RandomForestClassifier)(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),rf=sklearn.ensemble.forest.RandomForestClassifier)(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),rf=sklearn.ensemble.forest.RandomForestClassifier)(1)_weights	null