Run
8886586

Run 8886586

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 17-03-2018 by Xinyi Kong
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Flow

sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,pa c=sklearn.decomposition.pca.PCA,classifier=sklearn.ensemble.forest.RandomFo restClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(33)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(33)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(33)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(33)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(33)_max_features0.2
sklearn.ensemble.forest.RandomForestClassifier(33)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(33)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(33)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(33)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(33)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(33)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(33)_n_estimators256
sklearn.ensemble.forest.RandomForestClassifier(33)_n_jobs-1
sklearn.ensemble.forest.RandomForestClassifier(33)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(33)_random_state43173
sklearn.ensemble.forest.RandomForestClassifier(33)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(33)_warm_startfalse
sklearn.decomposition.pca.PCA(3)_copytrue
sklearn.decomposition.pca.PCA(3)_iterated_power"auto"
sklearn.decomposition.pca.PCA(3)_n_components0.9
sklearn.decomposition.pca.PCA(3)_random_state45115
sklearn.decomposition.pca.PCA(3)_svd_solver"auto"
sklearn.decomposition.pca.PCA(3)_tol0.0
sklearn.decomposition.pca.PCA(3)_whitenfalse
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,pac=sklearn.decomposition.pca.PCA,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)_memorynull
sklearn.preprocessing.data.RobustScaler(3)_copytrue
sklearn.preprocessing.data.RobustScaler(3)_quantile_range[25.0, 75.0]
sklearn.preprocessing.data.RobustScaler(3)_with_centeringtrue
sklearn.preprocessing.data.RobustScaler(3)_with_scalingtrue

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
0.851 ± 0.004
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4523 ± 0.0093
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3972 ± 0.0105
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5591.1758 ± 8.8807
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1574 ± 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
0.4521 ± 0.0093
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4576 ± 0.0095
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.4576 ± 0.0095
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8743 ± 0.0028
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 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9055 ± 0.0024
Cross-validation details (10-fold Crossvalidation)