Run
1848656

Run 1848656

Task 145677 (Supervised Classification) Bioresponse Uploaded 02-03-2017 by János Szedelényi
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  • NumPy_1.12.0. Python_3.5.2. run_task SciPy_0.18.1. sklearn.ensemble.forest.ExtraTreesClassifier Sklearn_0.18.1. Thu_Mar__2_22.49.38_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_estimators100
sklearn.ensemble.forest.ExtraTreesClassifier(5)_n_jobs-1
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
0.8686
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8016
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6003
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1629.5328
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2953
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4964
Cross-validation details (10-fold Crossvalidation)
Number of instances
3751
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8016
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8017
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.8017
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5949
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3823
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7674
Cross-validation details (10-fold Crossvalidation)