Run
8886192

Run 8886192

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 16-03-2018 by Robin Esposito
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Flow

sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.RobustScaler,Cl assifier=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_depth3
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_max_features40
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_state25630
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(Scaler=sklearn.preprocessing.data.RobustScaler,Classifier=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

0.8535 ± 0.0039
Per class
Cross-validation details (10-fold Crossvalidation)
0.4452 ± 0.0088
Per class
Cross-validation details (10-fold Crossvalidation)
0.3872 ± 0.0098
Cross-validation details (10-fold Crossvalidation)
7169.5956 ± 12.2733
Cross-validation details (10-fold Crossvalidation)
0.144 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
20000
Per class
Cross-validation details (10-fold Crossvalidation)
0.4448 ± 0.0092
Per class
Cross-validation details (10-fold Crossvalidation)
0.4486 ± 0.0088
Cross-validation details (10-fold Crossvalidation)
3.3218
Cross-validation details (10-fold Crossvalidation)
0.4486 ± 0.0088
Per class
Cross-validation details (10-fold Crossvalidation)
0.8002 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
0.2634 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
0.8781 ± 0.0049
Cross-validation details (10-fold Crossvalidation)