Run 8886490

Task 167132 (Supervised Classification) Speech Uploaded 16-03-2018 by Egor Lomagin
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads

Issue	#Downvotes for this reason	By

Flow

sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.Standar dScaler,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifie r(SVC=sklearn.svm.classes.SVC,LR=sklearn.pipeline.Pipeline(pca=sklearn.deco mposition.pca.PCA,logisticregression=sklearn.linear_model.logistic.Logistic Regression),KNN=sklearn.neighbors.classification.KNeighborsClassifier))(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	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	"rbf"
sklearn.svm.classes.SVC(16)_max_iter	-1
sklearn.svm.classes.SVC(16)_probability	true
sklearn.svm.classes.SVC(16)_random_state	20845
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.linear_model.logistic.LogisticRegression(10)_C	1.0
sklearn.linear_model.logistic.LogisticRegression(10)_class_weight	null
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	"l1"
sklearn.linear_model.logistic.LogisticRegression(10)_random_state	41866
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	100
sklearn.decomposition.pca.PCA(2)_random_state	40638
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(standardscaler=sklearn.preprocessing.data.StandardScaler,votingclassifier=sklearn.ensemble.voting_classifier.VotingClassifier(SVC=sklearn.svm.classes.SVC,LR=sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,logisticregression=sklearn.linear_model.logistic.LogisticRegression),KNN=sklearn.neighbors.classification.KNeighborsClassifier))(1)_memory	null
sklearn.ensemble.voting_classifier.VotingClassifier(SVC=sklearn.svm.classes.SVC,LR=sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,logisticregression=sklearn.linear_model.logistic.LogisticRegression),KNN=sklearn.neighbors.classification.KNeighborsClassifier)(1)_flatten_transform	null
sklearn.ensemble.voting_classifier.VotingClassifier(SVC=sklearn.svm.classes.SVC,LR=sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,logisticregression=sklearn.linear_model.logistic.LogisticRegression),KNN=sklearn.neighbors.classification.KNeighborsClassifier)(1)_n_jobs	1
sklearn.ensemble.voting_classifier.VotingClassifier(SVC=sklearn.svm.classes.SVC,LR=sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,logisticregression=sklearn.linear_model.logistic.LogisticRegression),KNN=sklearn.neighbors.classification.KNeighborsClassifier)(1)_voting	"soft"
sklearn.ensemble.voting_classifier.VotingClassifier(SVC=sklearn.svm.classes.SVC,LR=sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,logisticregression=sklearn.linear_model.logistic.LogisticRegression),KNN=sklearn.neighbors.classification.KNeighborsClassifier)(1)_weights	null
sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)_memory	null