Run
10228950

Run 10228950

Task 219 (Supervised Classification) electricity 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-05
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_bins256
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_depth19
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_iter100
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_leaf_nodes16
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_min_samples_leaf20
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_n_iter_no_changenull
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_random_state60329
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_fraction0.2
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
0.9362 ± 0.0033
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8578 ± 0.0044
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7086 ± 0.0091
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.5615 ± 0.0075
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2292 ± 0.0034
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4886 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
45312
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8578 ± 0.0044
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8581 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835 ± 0
Cross-validation details (10-fold Crossvalidation)
Recall
0.8581 ± 0.0044
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.469 ± 0.007
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3194 ± 0.0039
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6463 ± 0.0079
Cross-validation details (10-fold Crossvalidation)