Run
8784080

Run 8784080

Task 3512 (Supervised Classification) synthetic_control Uploaded 10-01-2018 by Vishal Chouskey
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  • openml-pimp openml-python Sklearn_0.18.2.
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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.ensemble.forest.RandomForestClassifier)(4)Automatically created scikit-learn flow.
sklearn.preprocessing.data.OneHotEncoder(14)_categorical_features[]
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)_sparsetrue
sklearn.ensemble.forest.RandomForestClassifier(29)_bootstrapfalse
sklearn.ensemble.forest.RandomForestClassifier(29)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(29)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(29)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(29)_max_features0.552606946904165
sklearn.ensemble.forest.RandomForestClassifier(29)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(29)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(29)_min_samples_leaf10
sklearn.ensemble.forest.RandomForestClassifier(29)_min_samples_split18
sklearn.ensemble.forest.RandomForestClassifier(29)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(29)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(29)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(29)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(29)_random_state64149
sklearn.ensemble.forest.RandomForestClassifier(29)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(29)_warm_startfalse
sklearn.feature_selection.variance_threshold.VarianceThreshold(9)_threshold0.0
openmlstudy14.preprocessing.ConditionalImputer(6)_axis0
openmlstudy14.preprocessing.ConditionalImputer(6)_categorical_features[]
openmlstudy14.preprocessing.ConditionalImputer(6)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(6)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(6)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy"mean"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_verbose0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

0.994 ± 0.005
Per class
Cross-validation details (10-fold Crossvalidation)
0.9066 ± 0.0288
Per class
Cross-validation details (10-fold Crossvalidation)
0.888 ± 0.0343
Cross-validation details (10-fold Crossvalidation)
521.097 ± 1.8156
Cross-validation details (10-fold Crossvalidation)
0.0539 ± 0.0101
Cross-validation details (10-fold Crossvalidation)
0.2778
Cross-validation details (10-fold Crossvalidation)
600
Per class
Cross-validation details (10-fold Crossvalidation)
0.9091 ± 0.0282
Per class
Cross-validation details (10-fold Crossvalidation)
0.9067 ± 0.0285
Cross-validation details (10-fold Crossvalidation)
2.585
Cross-validation details (10-fold Crossvalidation)
0.9067 ± 0.0285
Per class
Cross-validation details (10-fold Crossvalidation)
0.194 ± 0.0365
Cross-validation details (10-fold Crossvalidation)
0.3727
Cross-validation details (10-fold Crossvalidation)
0.1514 ± 0.0217
Cross-validation details (10-fold Crossvalidation)
0.4063 ± 0.0582
Cross-validation details (10-fold Crossvalidation)