Run
8872453

Run 8872453

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 06-03-2018 by jelle dikker
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Flow

sklearn.pipeline.Pipeline(PCA=sklearn.decomposition.pca.PCA,polynom=sklearn .preprocessing.data.PolynomialFeatures,model=sklearn.ensemble.forest.Random ForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(32)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(32)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(32)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_depth7
sklearn.ensemble.forest.RandomForestClassifier(32)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(32)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_n_estimators300
sklearn.ensemble.forest.RandomForestClassifier(32)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(32)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(32)_random_state63265
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(32)_warm_startfalse
sklearn.pipeline.Pipeline(PCA=sklearn.decomposition.pca.PCA,polynom=sklearn.preprocessing.data.PolynomialFeatures,model=sklearn.ensemble.forest.RandomForestClassifier)(1)_memorynull
sklearn.decomposition.pca.PCA(2)_copytrue
sklearn.decomposition.pca.PCA(2)_iterated_power"auto"
sklearn.decomposition.pca.PCA(2)_n_components20
sklearn.decomposition.pca.PCA(2)_random_state50296
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.preprocessing.data.PolynomialFeatures(2)_degree2
sklearn.preprocessing.data.PolynomialFeatures(2)_include_biastrue
sklearn.preprocessing.data.PolynomialFeatures(2)_interaction_onlyfalse

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
0.8184 ± 0.0029
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3848 ± 0.0098
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3261 ± 0.0103
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3269.2226 ± 4.7187
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1694 ± 0.0002
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
0.3916 ± 0.0095
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3936 ± 0.0092
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.3936 ± 0.0092
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9411 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2853 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9508 ± 0.001
Cross-validation details (10-fold Crossvalidation)