Run
1964751

Run 1964751

Task 21 (Supervised Classification) car Uploaded 03-04-2017 by Jeroen van Hoof
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  • Mon_Apr__3_02.14.40_2017 NumPy_1.12.1. Python_3.5.3. run_task SciPy_0.18.1. sklearn.pipeline.Pipeline Sklearn_0.18.1.
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Flow

sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,extra treesclassifier=sklearn.ensemble.forest.ExtraTreesClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.ExtraTreesClassifier(5)_bootstrapFalse
sklearn.ensemble.forest.ExtraTreesClassifier(5)_class_weightNone
sklearn.ensemble.forest.ExtraTreesClassifier(5)_criteriongini
sklearn.ensemble.forest.ExtraTreesClassifier(5)_max_depth20
sklearn.ensemble.forest.ExtraTreesClassifier(5)_max_featuresNone
sklearn.ensemble.forest.ExtraTreesClassifier(5)_max_leaf_nodesNone
sklearn.ensemble.forest.ExtraTreesClassifier(5)_min_impurity_split1e-07
sklearn.ensemble.forest.ExtraTreesClassifier(5)_min_samples_leaf2
sklearn.ensemble.forest.ExtraTreesClassifier(5)_min_samples_split2
sklearn.ensemble.forest.ExtraTreesClassifier(5)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.ExtraTreesClassifier(5)_n_estimators256
sklearn.ensemble.forest.ExtraTreesClassifier(5)_n_jobs-1
sklearn.ensemble.forest.ExtraTreesClassifier(5)_oob_scoreFalse
sklearn.ensemble.forest.ExtraTreesClassifier(5)_random_stateNone
sklearn.ensemble.forest.ExtraTreesClassifier(5)_verbose0
sklearn.ensemble.forest.ExtraTreesClassifier(5)_warm_startFalse
sklearn.pipeline.Pipeline(dualimputer=helper.dual_imputer.DualImputer,extratreesclassifier=sklearn.ensemble.forest.ExtraTreesClassifier)(1)_steps[('dualimputer', ), ('extratreesclassifier', ExtraTreesClassifier(bootstrap=False, class_weight=None, criterion='gini', max_depth=20, max_features=None, max_leaf_nodes=None, min_impurity_split=1e-07, min_samples_leaf=2, min_samples_split=2, min_weight_fraction_leaf=0.0, n_estimators=256, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False))]

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
0.9995
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9818
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9601
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1617.2105
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0188
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9826
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9815
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.9815
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0819
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0842
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.249
Cross-validation details (10-fold Crossvalidation)