Run
8879372

Run 8879372

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 09-03-2018 by William Raynaut
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Flow

weka.kf.AttributeSelection-BestFirst-CfsSubsetEval-KStar(1)A Weka KnowledgeFlow using AttributeSelection-BestFirst-CfsSubsetEval-KStar.kf

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
0.8386
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9775
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6935
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-41.491
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0435
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0837
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9807
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9803
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2628
Cross-validation details (10-fold Crossvalidation)
Recall
0.9803
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5205
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1416
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6985
Cross-validation details (10-fold Crossvalidation)