Run 1983645

Task 49 (Supervised Classification) tic-tac-toe Uploaded 04-04-2017 by Jeroen van Hoof
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads

Issue	#Downvotes for this reason	By

sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,stand ardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes .SVC)(1)	Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(5)_C	512.290354451
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	0.00581513200453
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	0.00011357539198
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.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)_steps	[('dualimputer', ), ('standardscaler', StandardScaler(copy=True, with_mean=True, with_std=True)), ('svc', SVC(C=512.29035445118802, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma=0.0058151320045334558, kernel='rbf', max_iter=-1, probability=True, random_state=None, shrinking=True, tol=0.00011357539198031932, verbose=False))]