Run
2036042

Run 2036042

Task 49 (Supervised Classification) tic-tac-toe Uploaded 08-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.1. Python_3.5.3. run_task Sat_Apr__8_22.37.42_2017 SciPy_0.19.0. sklearn.pipeline.Pipeline Sklearn_0.18.1.
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Flow

sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,adabo ostclassifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.weight_boosting.AdaBoostClassifier(5)_algorithmSAMME.R
sklearn.ensemble.weight_boosting.AdaBoostClassifier(5)_base_estimatorNone
sklearn.ensemble.weight_boosting.AdaBoostClassifier(5)_learning_rate1.2589254117941673
sklearn.ensemble.weight_boosting.AdaBoostClassifier(5)_n_estimators256
sklearn.ensemble.weight_boosting.AdaBoostClassifier(5)_random_state3
sklearn.pipeline.Pipeline(DualImputer=helper.dual_imputer.DualImputer,adaboostclassifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier)(1)_steps[('DualImputer', ), ('adaboostclassifier', AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.2589254117941673, n_estimators=256, random_state=3))]

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
0.9913
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9832
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9627
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-159.9389
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4978
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.453
Cross-validation details (10-fold Crossvalidation)
Number of instances
958
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9837
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9833
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.9833
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0988
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4978
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.046
Cross-validation details (10-fold Crossvalidation)