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Task 167132 (Supervised Classification) Speech Uploaded 15-03-2018 by Bas Bluemink
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sklearn.ensemble.voting_classifier.VotingClassifier(xgb=xgboost.sklearn.XGB Classifier,svc=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data. StandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SV C))(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	2031
sklearn.svm.classes.SVC(16)_shrinking	true
sklearn.svm.classes.SVC(16)_tol	0.001
sklearn.svm.classes.SVC(16)_verbose	false
xgboost.sklearn.XGBClassifier(5)_base_score	0.5
xgboost.sklearn.XGBClassifier(5)_booster	"gbtree"
xgboost.sklearn.XGBClassifier(5)_colsample_bylevel	1
xgboost.sklearn.XGBClassifier(5)_colsample_bytree	1
xgboost.sklearn.XGBClassifier(5)_gamma	0
xgboost.sklearn.XGBClassifier(5)_learning_rate	0.11
xgboost.sklearn.XGBClassifier(5)_max_delta_step	0
xgboost.sklearn.XGBClassifier(5)_max_depth	5
xgboost.sklearn.XGBClassifier(5)_min_child_weight	1
xgboost.sklearn.XGBClassifier(5)_missing	null
xgboost.sklearn.XGBClassifier(5)_n_estimators	150
xgboost.sklearn.XGBClassifier(5)_n_jobs	1
xgboost.sklearn.XGBClassifier(5)_nthread	null
xgboost.sklearn.XGBClassifier(5)_objective	"binary:logistic"
xgboost.sklearn.XGBClassifier(5)_random_state	0
xgboost.sklearn.XGBClassifier(5)_reg_alpha	0
xgboost.sklearn.XGBClassifier(5)_reg_lambda	1
xgboost.sklearn.XGBClassifier(5)_scale_pos_weight	1
xgboost.sklearn.XGBClassifier(5)_seed	null
xgboost.sklearn.XGBClassifier(5)_silent	true
xgboost.sklearn.XGBClassifier(5)_subsample	1
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	65001
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(xgb=xgboost.sklearn.XGBClassifier,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(xgb=xgboost.sklearn.XGBClassifier,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(xgb=xgboost.sklearn.XGBClassifier,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(xgb=xgboost.sklearn.XGBClassifier,svc=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC))(1)_weights	null