Run
8886603

Run 8886603

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 17-03-2018 by Nena ODriscoll
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Flow

sklearn.pipeline.Pipeline(PCA=sklearn.decomposition.pca.PCA,tree=sklearn.en semble.forest.RandomForestClassifier)(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_depthnull
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_estimators50
sklearn.ensemble.forest.RandomForestClassifier(32)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(32)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(32)_random_state27657
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(32)_warm_startfalse
sklearn.decomposition.pca.PCA(2)_copytrue
sklearn.decomposition.pca.PCA(2)_iterated_power"auto"
sklearn.decomposition.pca.PCA(2)_n_components30
sklearn.decomposition.pca.PCA(2)_random_state50728
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.pipeline.Pipeline(PCA=sklearn.decomposition.pca.PCA,tree=sklearn.ensemble.forest.RandomForestClassifier)(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
0.8194 ± 0.0023
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4153 ± 0.006
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.353 ± 0.0077
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5753.1593 ± 4.3265
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.156 ± 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
0.4155 ± 0.0054
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4178 ± 0.0069
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.4178 ± 0.0069
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8668 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2731 ± 0.0005
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9103 ± 0.0015
Cross-validation details (10-fold Crossvalidation)