Run 8777928

Task 3 (Supervised Classification) kr-vs-kp Uploaded 05-01-2018 by Vishal Chouskey
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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.tree.tree.DecisionTreeClassifier)(3)	Automatically created scikit-learn flow.
sklearn.preprocessing.data.OneHotEncoder(14)_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]
sklearn.preprocessing.data.OneHotEncoder(14)_dtype	{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(14)_handle_unknown	"ignore"
sklearn.preprocessing.data.OneHotEncoder(14)_n_values	"auto"
sklearn.preprocessing.data.OneHotEncoder(14)_sparse	true
sklearn.feature_selection.variance_threshold.VarianceThreshold(9)_threshold	0.0
openmlstudy14.preprocessing.ConditionalImputer(6)_axis	0
openmlstudy14.preprocessing.ConditionalImputer(6)_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]
openmlstudy14.preprocessing.ConditionalImputer(6)_copy	true
openmlstudy14.preprocessing.ConditionalImputer(6)_fill_empty	0
openmlstudy14.preprocessing.ConditionalImputer(6)_missing_values	"NaN"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy	"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy_nominal	"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_verbose	0
sklearn.tree.tree.DecisionTreeClassifier(20)_class_weight	null
sklearn.tree.tree.DecisionTreeClassifier(20)_criterion	"entropy"
sklearn.tree.tree.DecisionTreeClassifier(20)_max_depth	1.8480492061476188
sklearn.tree.tree.DecisionTreeClassifier(20)_max_features	null
sklearn.tree.tree.DecisionTreeClassifier(20)_max_leaf_nodes	null
sklearn.tree.tree.DecisionTreeClassifier(20)_min_impurity_split	1e-07
sklearn.tree.tree.DecisionTreeClassifier(20)_min_samples_leaf	10
sklearn.tree.tree.DecisionTreeClassifier(20)_min_samples_split	4
sklearn.tree.tree.DecisionTreeClassifier(20)_min_weight_fraction_leaf	0.0
sklearn.tree.tree.DecisionTreeClassifier(20)_presort	false
sklearn.tree.tree.DecisionTreeClassifier(20)_random_state	62282
sklearn.tree.tree.DecisionTreeClassifier(20)_splitter	"best"