Run
8880932

Run 8880932

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 10-03-2018 by William Raynaut
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Flow

weka.kf.AdaBoostM1-NaiveBayes(1)A Weka KnowledgeFlow using AdaBoostM1-NaiveBayes.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
0.805
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8308
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2921
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21.8464
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1803
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8268
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8354
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.8354
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7325
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3378
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9646
Cross-validation details (10-fold Crossvalidation)