OpenML
8870099

Run 8870099

Task 3500 (Supervised Classification) squash-unstored 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
0.8562
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6844
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4643
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21.3744
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2537
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3823
Cross-validation details (10-fold Crossvalidation)
Number of instances
52
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6636
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7115
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3486
Cross-validation details (10-fold Crossvalidation)
Recall
0.7115
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6637
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4353
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3466
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7964
Cross-validation details (10-fold Crossvalidation)
Total cost