Run
8871812

Run 8871812

Task 3670 (Supervised Classification) fri_c4_500_50 Uploaded 03-03-2018 by William Raynaut
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Flow

weka.kf.AttributeSelection-Ranker-InfoGain-Standardize-IBk5(1)A Weka KnowledgeFlow using AttributeSelection-Ranker-InfoGain-Standardize-IBk5.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
0.8638
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8017
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6019
Cross-validation details (10-fold Crossvalidation)
KB relative information score
254.0134
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2522
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4984
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.802
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.802
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9978
Cross-validation details (10-fold Crossvalidation)
Recall
0.802
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.506
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4992
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3871
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7755
Cross-validation details (10-fold Crossvalidation)