Run
8886555

Run 8886555

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 17-03-2018 by Mark Frenken
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Flow

sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,Classifier=skle arn.ensemble.forest.RandomForestClassifier)(2)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_features"auto"
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_estimators10
sklearn.ensemble.forest.RandomForestClassifier(33)_n_jobs-1
sklearn.ensemble.forest.RandomForestClassifier(33)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(33)_random_state7369
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_components1000
sklearn.decomposition.pca.PCA(3)_random_state46814
sklearn.decomposition.pca.PCA(3)_svd_solver"auto"
sklearn.decomposition.pca.PCA(3)_tol0.0
sklearn.decomposition.pca.PCA(3)_whitenfalse
sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,Classifier=sklearn.ensemble.forest.RandomForestClassifier)(2)_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
0.6159 ± 0.0069
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1896 ± 0.0076
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1032 ± 0.0091
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3139.0899 ± 9.9777
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1711 ± 0.0006
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
0.1997 ± 0.0076
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.193 ± 0.0082
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.193 ± 0.0082
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9504 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3022 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0072 ± 0.0027
Cross-validation details (10-fold Crossvalidation)