Run
6001958

Run 6001958

Task 14971 (Supervised Classification) Click_prediction_small Uploaded 17-07-2017 by Jan van Rijn
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  • openml-pimp openml-python Sklearn_0.18.1.
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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)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(21)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(21)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(21)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(21)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(21)_max_features0.6822388012996448
sklearn.ensemble.forest.RandomForestClassifier(21)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(21)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_leaf5
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_split14
sklearn.ensemble.forest.RandomForestClassifier(21)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(21)_n_estimators100
sklearn.ensemble.forest.RandomForestClassifier(21)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(21)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(21)_random_state43692
sklearn.ensemble.forest.RandomForestClassifier(21)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(21)_warm_startfalse
openmlstudy14.preprocessing.ConditionalImputer(2)_axis0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features[]
openmlstudy14.preprocessing.ConditionalImputer(2)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(2)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy"median"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_verbose0
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features[]
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)_sparsefalse
sklearn.feature_selection.variance_threshold.VarianceThreshold(4)_threshold0.0

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

0.6833 ± 0.0079
Per class
Cross-validation details (10-fold Crossvalidation)
0.7765 ± 0.0044
Per class
Cross-validation details (10-fold Crossvalidation)
0.0909 ± 0.0189
Cross-validation details (10-fold Crossvalidation)
-2885.549 ± 47.2492
Cross-validation details (10-fold Crossvalidation)
0.2585 ± 0.002
Cross-validation details (10-fold Crossvalidation)
0.2801 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
39948
Per class
Cross-validation details (10-fold Crossvalidation)
0.7939 ± 0.0093
Per class
Cross-validation details (10-fold Crossvalidation)
0.8343 ± 0.0022
Cross-validation details (10-fold Crossvalidation)
0.6541
Cross-validation details (10-fold Crossvalidation)
0.8343 ± 0.0022
Per class
Cross-validation details (10-fold Crossvalidation)
0.9228 ± 0.0071
Cross-validation details (10-fold Crossvalidation)
0.3742 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.3621 ± 0.002
Cross-validation details (10-fold Crossvalidation)
0.9677 ± 0.0053
Cross-validation details (10-fold Crossvalidation)