Run 8885116

Task 167132 (Supervised Classification) Speech Uploaded 13-03-2018 by Bas Bluemink
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Flow

sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.for est.RandomForestClassifier,knn=sklearn.neighbors.classification.KNeighborsC lassifier,svc=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.S tandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC ))(1)	Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(5)_copy	true
sklearn.preprocessing.data.StandardScaler(5)_with_mean	true
sklearn.preprocessing.data.StandardScaler(5)_with_std	true
sklearn.svm.classes.SVC(16)_C	10
sklearn.svm.classes.SVC(16)_cache_size	200
sklearn.svm.classes.SVC(16)_class_weight	null
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	0.5
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	61757
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	5
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	null
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	52534
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	5
sklearn.decomposition.pca.PCA(2)_random_state	35398
sklearn.decomposition.pca.PCA(2)_svd_solver	"auto"
sklearn.decomposition.pca.PCA(2)_tol	0.0
sklearn.decomposition.pca.PCA(2)_whiten	false
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC)(1)_memory	null
sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.forest.RandomForestClassifier,knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC))(1)_flatten_transform	null
sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.forest.RandomForestClassifier,knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC))(1)_n_jobs	1
sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.forest.RandomForestClassifier,knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC))(1)_voting	"soft"
sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.forest.RandomForestClassifier,knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC))(1)_weights	null