Run
8886630

Run 8886630

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_state2676
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_components40
sklearn.decomposition.pca.PCA(2)_random_state62303
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
0.8142 ± 0.0037
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4109 ± 0.0073
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3484 ± 0.008
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5526.2445 ± 8.1892
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1576 ± 0.0004
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
0.4107 ± 0.0075
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4136 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.4136 ± 0.0072
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8753 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2745 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.915 ± 0.0021
Cross-validation details (10-fold Crossvalidation)