OpenML
8870044

Run 8870044

Task 2382 (Supervised Classification) wine Uploaded 02-03-2018 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
0.9913
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9605
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9405
Cross-validation details (10-fold Crossvalidation)
KB relative information score
164.7982
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0405
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.439
Cross-validation details (10-fold Crossvalidation)
Number of instances
178
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9619
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9607
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9607
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0922
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4684
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1396
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2979
Cross-validation details (10-fold Crossvalidation)