Run
1853125

Run 1853125

Task 145677 (Supervised Classification) Bioresponse Uploaded 20-03-2017 by Joost Visser
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  • Mon_Mar_20_13.17.53_2017 NumPy_1.12.0. Python_3.6.0. run_task SciPy_0.19.0. Sklearn_0.18.1. voter2.Voter
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Flow

voter2.Voter(1)Automatically created scikit-learn flow.

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
0.8867
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8104
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6176
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1871.9224
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2624
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
0.8105
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8107
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.8107
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5286
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.367
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7367
Cross-validation details (10-fold Crossvalidation)