Run 1849112

Task 145677 (Supervised Classification) Bioresponse Uploaded 07-03-2017 by Stefan Majoor
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Flow

sklearn.pipeline.Pipeline(scaling=sklearn.preprocessing.data.StandardScaler ,selector=sklearn.feature_selection.univariate_selection.GenericUnivariateS elect,classifier=sklearn.svm.classes.SVC)(1)	Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(5)_C	1.4
sklearn.svm.classes.SVC(5)_cache_size	200
sklearn.svm.classes.SVC(5)_class_weight	None
sklearn.svm.classes.SVC(5)_coef0	0.0
sklearn.svm.classes.SVC(5)_decision_function_shape	None
sklearn.svm.classes.SVC(5)_degree	3
sklearn.svm.classes.SVC(5)_gamma	0.014
sklearn.svm.classes.SVC(5)_kernel	rbf
sklearn.svm.classes.SVC(5)_max_iter	-1
sklearn.svm.classes.SVC(5)_probability	True
sklearn.svm.classes.SVC(5)_random_state	None
sklearn.svm.classes.SVC(5)_shrinking	True
sklearn.svm.classes.SVC(5)_tol	0.001
sklearn.svm.classes.SVC(5)_verbose	False
sklearn.preprocessing.data.StandardScaler(1)_copy	True
sklearn.preprocessing.data.StandardScaler(1)_with_mean	True
sklearn.preprocessing.data.StandardScaler(1)_with_std	True
sklearn.feature_selection.univariate_selection.GenericUnivariateSelect(1)_mode	k_best
sklearn.feature_selection.univariate_selection.GenericUnivariateSelect(1)_param	170
sklearn.feature_selection.univariate_selection.GenericUnivariateSelect(1)_score_func
sklearn.pipeline.Pipeline(scaling=sklearn.preprocessing.data.StandardScaler,selector=sklearn.feature_selection.univariate_selection.GenericUnivariateSelect,classifier=sklearn.svm.classes.SVC)(1)_steps	[('scaling', StandardScaler(copy=True, with_mean=True, with_std=True)), ('selector', GenericUnivariateSelect(mode='k_best', param=170, score_func=)), ('classifier', SVC(C=1.4, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.014, kernel='rbf', max_iter=-1, probability=True, random_state=None, shrinking=True, tol=0.001, verbose=False))]