Run
8886867

Run 8886867

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

sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler, GB=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(5)_copytrue
sklearn.preprocessing.data.StandardScaler(5)_with_meantrue
sklearn.preprocessing.data.StandardScaler(5)_with_stdtrue
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_state5739
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_subsample1.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_warm_startfalse
sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.StandardScaler,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

0.8681 ± 0.0036
Per class
Cross-validation details (10-fold Crossvalidation)
0.4782 ± 0.0115
Per class
Cross-validation details (10-fold Crossvalidation)
0.4227 ± 0.0127
Cross-validation details (10-fold Crossvalidation)
8095.9315 ± 11.5784
Cross-validation details (10-fold Crossvalidation)
0.1357 ± 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)
0.4775 ± 0.0117
Per class
Cross-validation details (10-fold Crossvalidation)
0.4805 ± 0.0114
Cross-validation details (10-fold Crossvalidation)
3.3218
Cross-validation details (10-fold Crossvalidation)
0.4805 ± 0.0114
Per class
Cross-validation details (10-fold Crossvalidation)
0.7537 ± 0.0055
Cross-validation details (10-fold Crossvalidation)
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
0.2573 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
0.8577 ± 0.0047
Cross-validation details (10-fold Crossvalidation)