Run
10228943

Run 10228943

Task 31 (Supervised Classification) credit-g 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_regularization1e-09
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_learning_rate0.1
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_loss"auto"
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_bins16
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_depth9
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_iter400
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_leaf_nodes4
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_min_samples_leaf14
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_n_iter_no_changenull
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_random_state58851
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
0.7778 ± 0.042
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.758 ± 0.0432
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4086 ± 0.1068
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.276 ± 0.0573
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2981 ± 0.0194
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7564 ± 0.0459
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.767 ± 0.0408
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8813
Cross-validation details (10-fold Crossvalidation)
Recall
0.767 ± 0.0408
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7095 ± 0.0461
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4071 ± 0.0213
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8884 ± 0.0464
Cross-validation details (10-fold Crossvalidation)