Run
8865499

Run 8865499

Task 145919 (Supervised Classification) autoUniv-au6-1000 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
0.5199
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0929
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
73.3098
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2123
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2147
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.0576
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.24
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.9228
Cross-validation details (10-fold Crossvalidation)
Recall
0.24
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9885
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3277
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3311
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0104
Cross-validation details (10-fold Crossvalidation)
Total cost