Run
1852688

Run 1852688

Task 9893 (Supervised Classification) hill-valley Uploaded 15-03-2017 by Randal Olson
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  • NumPy_1.12.0. Python_3.5.3. run_task SciPy_0.19.0. sklearn.ensemble.forest.ExtraTreesClassifier Sklearn_0.18.1. Wed_Mar_15_17.08.52_2017
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Flow

sklearn.ensemble.forest.ExtraTreesClassifier(5)Automatically created sub-component.
sklearn.ensemble.forest.ExtraTreesClassifier(5)_bootstrapFalse
sklearn.ensemble.forest.ExtraTreesClassifier(5)_class_weightNone
sklearn.ensemble.forest.ExtraTreesClassifier(5)_criteriongini
sklearn.ensemble.forest.ExtraTreesClassifier(5)_max_depthNone
sklearn.ensemble.forest.ExtraTreesClassifier(5)_max_featuresauto
sklearn.ensemble.forest.ExtraTreesClassifier(5)_max_leaf_nodesNone
sklearn.ensemble.forest.ExtraTreesClassifier(5)_min_impurity_split1e-07
sklearn.ensemble.forest.ExtraTreesClassifier(5)_min_samples_leaf1
sklearn.ensemble.forest.ExtraTreesClassifier(5)_min_samples_split2
sklearn.ensemble.forest.ExtraTreesClassifier(5)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.ExtraTreesClassifier(5)_n_estimators500
sklearn.ensemble.forest.ExtraTreesClassifier(5)_n_jobs1
sklearn.ensemble.forest.ExtraTreesClassifier(5)_oob_scoreFalse
sklearn.ensemble.forest.ExtraTreesClassifier(5)_random_stateNone
sklearn.ensemble.forest.ExtraTreesClassifier(5)_verbose0
sklearn.ensemble.forest.ExtraTreesClassifier(5)_warm_startFalse

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
0.6942
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6452
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2903
Cross-validation details (10-fold Crossvalidation)
KB relative information score
229.5243
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4138
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
1212
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6452
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6452
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9999
Cross-validation details (10-fold Crossvalidation)
Recall
0.6452
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8277
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4785
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.957
Cross-validation details (10-fold Crossvalidation)