Run
10228940

Run 10228940

Task 22 (Supervised Classification) mfeat-zernike 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-07
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_depth12
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_iter500
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_max_leaf_nodes4
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_min_samples_leaf16
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_n_iter_no_changenull
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)_random_state59896
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
0.9747 ± 0.003
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8026 ± 0.0222
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7789 ± 0.0255
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.8053 ± 0.0231
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0405 ± 0.0038
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
0.8044 ± 0.0221
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.801 ± 0.0229
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.801 ± 0.0229
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2252 ± 0.0214
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1826 ± 0.0118
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6085 ± 0.0394
Cross-validation details (10-fold Crossvalidation)