Run
8886454

Run 8886454

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 16-03-2018 by Bensu Ucar
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Flow

sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,rf=sklearn.ense mble.forest.RandomForestClassifier)(2)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(31)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(31)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(31)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(31)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(31)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(31)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(31)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(31)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(31)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(31)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(31)_n_estimators512
sklearn.ensemble.forest.RandomForestClassifier(31)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(31)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(31)_random_state20351
sklearn.ensemble.forest.RandomForestClassifier(31)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(31)_warm_startfalse
sklearn.decomposition.pca.PCA(4)_copytrue
sklearn.decomposition.pca.PCA(4)_iterated_power"auto"
sklearn.decomposition.pca.PCA(4)_n_components0.85
sklearn.decomposition.pca.PCA(4)_random_state33457
sklearn.decomposition.pca.PCA(4)_svd_solver"auto"
sklearn.decomposition.pca.PCA(4)_tol0.0
sklearn.decomposition.pca.PCA(4)_whitenfalse

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
0.854 ± 0.0033
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4523 ± 0.0078
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3974 ± 0.0086
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5335.4756 ± 6.6662
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.159 ± 0.0003
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
0.4528 ± 0.0078
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4577 ± 0.0078
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.4577 ± 0.0078
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8831 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.273 ± 0.0005
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9099 ± 0.0017
Cross-validation details (10-fold Crossvalidation)