Run
8886875

Run 8886875

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 17-03-2018 by Yuntao Li
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Flow

sklearn.pipeline.Pipeline(robust=sklearn.preprocessing.data.RobustScaler,GB =sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_criterion"friedman_mse"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_initnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_learning_rate0.1
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_loss"deviance"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_max_depth5
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_max_features20
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_max_leaf_nodesnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_min_impurity_decrease0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_min_impurity_splitnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_min_samples_leaf1
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_min_samples_split2
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_min_weight_fraction_leaf0.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_n_estimators100
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_presort"auto"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_random_state20188
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_subsample1.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_warm_startfalse
sklearn.preprocessing.data.RobustScaler(2)_copytrue
sklearn.preprocessing.data.RobustScaler(2)_quantile_range[25.0, 75.0]
sklearn.preprocessing.data.RobustScaler(2)_with_centeringtrue
sklearn.preprocessing.data.RobustScaler(2)_with_scalingtrue
sklearn.pipeline.Pipeline(robust=sklearn.preprocessing.data.RobustScaler,GB=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)_memorynull

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

0.8685 ± 0.0031
Per class
Cross-validation details (10-fold Crossvalidation)
0.4791 ± 0.0135
Per class
Cross-validation details (10-fold Crossvalidation)
0.4233 ± 0.0146
Cross-validation details (10-fold Crossvalidation)
8105.6395 ± 12.6249
Cross-validation details (10-fold Crossvalidation)
0.1356 ± 0.001
Cross-validation details (10-fold Crossvalidation)
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
20000
Per class
Cross-validation details (10-fold Crossvalidation)
0.4786 ± 0.0132
Per class
Cross-validation details (10-fold Crossvalidation)
0.481 ± 0.0132
Cross-validation details (10-fold Crossvalidation)
3.3218
Cross-validation details (10-fold Crossvalidation)
0.481 ± 0.0132
Per class
Cross-validation details (10-fold Crossvalidation)
0.7531 ± 0.0056
Cross-validation details (10-fold Crossvalidation)
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
0.257 ± 0.0016
Cross-validation details (10-fold Crossvalidation)
0.8568 ± 0.0055
Cross-validation details (10-fold Crossvalidation)