Run
6005777

Run 6005777

Task 146544 (Supervised Classification) ML2017-challenge-2 Uploaded 17-07-2017 by Michal Blazej
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Flow

sklearn.ensemble.weight_boosting.AdaBoostClassifier(6)Automatically created scikit-learn flow.
sklearn.ensemble.weight_boosting.AdaBoostClassifier(6)_algorithm"SAMME.R"
sklearn.ensemble.weight_boosting.AdaBoostClassifier(6)_base_estimatornull
sklearn.ensemble.weight_boosting.AdaBoostClassifier(6)_learning_rate1.0
sklearn.ensemble.weight_boosting.AdaBoostClassifier(6)_n_estimators1000
sklearn.ensemble.weight_boosting.AdaBoostClassifier(6)_random_state41972

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
0.7032
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.773
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0758
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-63490.2589
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4995
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2801
Cross-validation details (10-fold Crossvalidation)
Number of instances
39948
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7893
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8333
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6541
Cross-validation details (10-fold Crossvalidation)
Recall
0.8333
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.7832
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3742
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3348
Cross-validation details (10-fold Crossvalidation)