Run 6218789

Task 146195 (Supervised Classification) connect-4 Uploaded 27-08-2017 by Jan van Rijn
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Flow

sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.Conditiona lImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethres hold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classif ier=sklearn.svm.classes.SVC)(1)	Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(2)_axis	0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features	[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41]
openmlstudy14.preprocessing.ConditionalImputer(2)_copy	true
openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty	0
openmlstudy14.preprocessing.ConditionalImputer(2)_missing_values	"NaN"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy	"mean"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal	"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_verbose	0
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features	[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41]
sklearn.preprocessing.data.OneHotEncoder(7)_dtype	{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(7)_handle_unknown	"ignore"
sklearn.preprocessing.data.OneHotEncoder(7)_n_values	"auto"
sklearn.preprocessing.data.OneHotEncoder(7)_sparse	true
sklearn.feature_selection.variance_threshold.VarianceThreshold(4)_threshold	0.0
sklearn.svm.classes.SVC(8)_C	0.07605529811002945
sklearn.svm.classes.SVC(8)_cache_size	200
sklearn.svm.classes.SVC(8)_class_weight	null
sklearn.svm.classes.SVC(8)_coef0	-0.717961631598375
sklearn.svm.classes.SVC(8)_decision_function_shape	null
sklearn.svm.classes.SVC(8)_degree	1
sklearn.svm.classes.SVC(8)_gamma	0.008373280960415747
sklearn.svm.classes.SVC(8)_kernel	"poly"
sklearn.svm.classes.SVC(8)_max_iter	-1
sklearn.svm.classes.SVC(8)_probability	true
sklearn.svm.classes.SVC(8)_random_state	57444
sklearn.svm.classes.SVC(8)_shrinking	true
sklearn.svm.classes.SVC(8)_tol	0.027493814357804208
sklearn.svm.classes.SVC(8)_verbose	false