Run
8886671

Run 8886671

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 17-03-2018 by Sander Ackermans
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Flow

sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.MinMaxScaler,pc a=sklearn.decomposition.pca.PCA,Classifier=sklearn.ensemble.gradient_boosti ng.GradientBoostingClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.MinMaxScaler(3)_copytrue
sklearn.preprocessing.data.MinMaxScaler(3)_feature_range[0, 1]
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_featuresnull
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_estimators50
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_presort"auto"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_random_state62255
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_subsample1.0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(11)_warm_startfalse
sklearn.decomposition.pca.PCA(2)_copytrue
sklearn.decomposition.pca.PCA(2)_iterated_power"auto"
sklearn.decomposition.pca.PCA(2)_n_components0.9
sklearn.decomposition.pca.PCA(2)_random_state33645
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.pipeline.Pipeline(Scaler=sklearn.preprocessing.data.MinMaxScaler,pca=sklearn.decomposition.pca.PCA,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

Area under ROC curve
0.8288 ± 0.0032
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4068 ± 0.0131
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3455 ± 0.0149
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5788.7714 ± 8.1726
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.154 ± 0.0005
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4062 ± 0.0131
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.411 ± 0.0134
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.411 ± 0.0134
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8554 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2717 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9057 ± 0.0026
Cross-validation details (10-fold Crossvalidation)