Run
9201769

Run 9201769

Task 3917 (Supervised Classification) kc1 Uploaded 26-05-2018 by João Freitas
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Flow

sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,gradientboostin gclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)( 1)Automatically created scikit-learn flow.
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_criterion"friedman_mse"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_initnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_learning_rate0.01
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_loss"deviance"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_max_depth6
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_max_features0.9500000000000001
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_max_leaf_nodesnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_min_impurity_decrease0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_min_impurity_splitnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_min_samples_leaf6
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_min_samples_split11
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_min_weight_fraction_leaf0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_n_estimators100
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_presort"auto"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_random_state35965
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_subsample0.15000000000000002
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_warm_startfalse
sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)_memorynull
sklearn.decomposition.pca.PCA(6)_copytrue
sklearn.decomposition.pca.PCA(6)_iterated_power9
sklearn.decomposition.pca.PCA(6)_n_componentsnull
sklearn.decomposition.pca.PCA(6)_random_state47286
sklearn.decomposition.pca.PCA(6)_svd_solver"randomized"
sklearn.decomposition.pca.PCA(6)_tol0.0
sklearn.decomposition.pca.PCA(6)_whitenfalse

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
0.8228 ± 0.0321
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8019 ± 0.0095
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1256 ± 0.0539
Cross-validation details (10-fold Crossvalidation)
KB relative information score
125.3298 ± 7.7998
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2243 ± 0.0042
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2616 ± 0.0016
Cross-validation details (10-fold Crossvalidation)
Number of instances
2109
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8501 ± 0.0326
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8554 ± 0.0052
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.622
Cross-validation details (10-fold Crossvalidation)
Recall
0.8554 ± 0.0052
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8574 ± 0.0176
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3615 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3264 ± 0.0065
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.903 ± 0.0201
Cross-validation details (10-fold Crossvalidation)