Run
9083965

Run 9083965

Task 167119 (Supervised Classification) jungle_chess_2pcs_raw_endgame_complete Uploaded 14-04-2018 by Hilde Weerts
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  • openml-python Sklearn_0.19.1. study_98
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Flow

sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.Condition alImputer2,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethr eshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=s klearn.ensemble.forest.RandomForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.OneHotEncoder(17)_categorical_features[]
sklearn.preprocessing.data.OneHotEncoder(17)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(17)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(17)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(17)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(11)_threshold0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_bootstrapfalse
sklearn.ensemble.forest.RandomForestClassifier(32)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(32)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(32)_max_features0.6350675183902724
sklearn.ensemble.forest.RandomForestClassifier(32)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_leaf9
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(32)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_n_estimators300
sklearn.ensemble.forest.RandomForestClassifier(32)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(32)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(32)_random_state62122
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(32)_warm_startfalse
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer2,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1)_memorynull
hyperimp.utils.preprocessing.ConditionalImputer2(1)_axis0
hyperimp.utils.preprocessing.ConditionalImputer2(1)_categorical_features[]
hyperimp.utils.preprocessing.ConditionalImputer2(1)_copytrue
hyperimp.utils.preprocessing.ConditionalImputer2(1)_fill_empty0
hyperimp.utils.preprocessing.ConditionalImputer2(1)_missing_values"NaN"
hyperimp.utils.preprocessing.ConditionalImputer2(1)_strategy"mean"
hyperimp.utils.preprocessing.ConditionalImputer2(1)_strategy_nominal"most_frequent"
hyperimp.utils.preprocessing.ConditionalImputer2(1)_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

Area under ROC curve
0.9609 ± 0.0022
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.816 ± 0.0059
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6803 ± 0.0105
Cross-validation details (10-fold Crossvalidation)
KB relative information score
30005.1608 ± 27.2512
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1465 ± 0.0021
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3832 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
44819
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8152 ± 0.0061
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8185 ± 0.0059
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3491
Cross-validation details (10-fold Crossvalidation)
Recall
0.8185 ± 0.0059
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3824 ± 0.0054
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4377 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.259 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5917 ± 0.0073
Cross-validation details (10-fold Crossvalidation)