Run
9201753

Run 9201753

Task 43 (Supervised Classification) spambase Uploaded 26-05-2018 by João Freitas
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Flow

sklearn.pipeline.Pipeline(gradientboostingclassifier=sklearn.ensemble.gradi ent_boosting.GradientBoostingClassifier)(3)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(3)_memorynull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_criterion"friedman_mse"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_initnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_learning_rate0.01
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_loss"deviance"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_max_depth3
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_max_features0.05
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_max_leaf_nodesnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_min_impurity_decrease0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_min_impurity_splitnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_min_samples_leaf16
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_min_samples_split13
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_min_weight_fraction_leaf0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_n_estimators100
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_presort"auto"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_random_state25429
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_subsample0.7500000000000001
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(13)_warm_startfalse

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

0.9685 ± 0.0094
Per class
Cross-validation details (10-fold Crossvalidation)
0.8485 ± 0.0142
Per class
Cross-validation details (10-fold Crossvalidation)
0.6796 ± 0.0296
Cross-validation details (10-fold Crossvalidation)
1458.3385 ± 4.6982
Cross-validation details (10-fold Crossvalidation)
0.3562 ± 0.0036
Cross-validation details (10-fold Crossvalidation)
0.4776 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
4601
Per class
Cross-validation details (10-fold Crossvalidation)
0.8773 ± 0.0111
Per class
Cross-validation details (10-fold Crossvalidation)
0.8559 ± 0.0127
Cross-validation details (10-fold Crossvalidation)
0.9674
Cross-validation details (10-fold Crossvalidation)
0.8559 ± 0.0127
Per class
Cross-validation details (10-fold Crossvalidation)
0.7459 ± 0.0076
Cross-validation details (10-fold Crossvalidation)
0.4886 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.3746 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
0.7666 ± 0.0101
Cross-validation details (10-fold Crossvalidation)