Run
8861341

Run 8861341

Task 3722 (Supervised Classification) hungarian Uploaded 27-02-2018 by William Raynaut
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Flow

weka.kf.AttributeSelection-Ranker-InfoGain-SMO(1)A Weka KnowledgeFlow using AttributeSelection-Ranker-InfoGain-SMO.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
0.7797
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8088
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5796
Cross-validation details (10-fold Crossvalidation)
KB relative information score
170.5103
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1871
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4614
Cross-validation details (10-fold Crossvalidation)
Number of instances
294
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8107
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8129
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9439
Cross-validation details (10-fold Crossvalidation)
Recall
0.8129
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4055
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4802
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4325
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9008
Cross-validation details (10-fold Crossvalidation)