Run
8872104

Run 8872104

Task 3860 (Supervised Classification) balance-scale 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
0.9832
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9121
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8241
Cross-validation details (10-fold Crossvalidation)
KB relative information score
462.0343
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1365
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4969
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9157
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.912
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9956
Cross-validation details (10-fold Crossvalidation)
Recall
0.912
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2746
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4985
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.243
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4875
Cross-validation details (10-fold Crossvalidation)