Run
10228941

Run 10228941

Task 23 (Supervised Classification) cmc Uploaded 02-07-2019 by Heinrich Peters
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Flow

sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoos tingClassifier(2)Automatically created scikit-learn flow.
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_l2_regularization0.01
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_learning_rate0.01
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_loss"auto"
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_bins4
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_depth5
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_iter100
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_leaf_nodes32
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_min_samples_leaf18
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_n_iter_no_changenull
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_random_state13392
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_scoringnull
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_tol1e-07
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_validation_fraction0.1
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_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
0.7084 ± 0.0304
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.527 ± 0.0466
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2655 ± 0.0733
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.1755 ± 0.0194
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3833 ± 0.0073
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4308 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
1473
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5276 ± 0.0465
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5336 ± 0.0445
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.539 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
Recall
0.5336 ± 0.0445
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8898 ± 0.017
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4352 ± 0.0084
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9377 ± 0.0181
Cross-validation details (10-fold Crossvalidation)