Run
10228520

Run 10228520

Task 14 (Supervised Classification) mfeat-fourier Uploaded 16-06-2019 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_regularization0.0
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_depthnull
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_iter100
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_leaf_nodes31
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_state26895
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
0.9836 ± 0.0048
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8522 ± 0.0359
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8361 ± 0.0397
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.8568 ± 0.0302
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.031 ± 0.006
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8528 ± 0.035
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8525 ± 0.0358
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.8525 ± 0.0358
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1723 ± 0.0336
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1559 ± 0.0179
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5195 ± 0.0597
Cross-validation details (10-fold Crossvalidation)