Run
2012954

Run 2012954

Task 23 (Supervised Classification) cmc Uploaded 07-04-2017 by Jeroen van Hoof
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  • Fri_Apr__7_03.08.00_2017 NumPy_1.12.1. Python_3.5.3. run_task SciPy_0.19.0. Sklearn_0.18.1. __main__.Wrapper
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Flow

__main__.Wrapper(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
0.6808
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5049
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2319
Cross-validation details (10-fold Crossvalidation)
KB relative information score
346.0522
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3601
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4308
Cross-validation details (10-fold Crossvalidation)
Number of instances
1473
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.503
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5085
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5392
Cross-validation details (10-fold Crossvalidation)
Recall
0.5085
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8358
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4599
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9909
Cross-validation details (10-fold Crossvalidation)