Run
8860047

Run 8860047

Task 3601 (Supervised Classification) cpu_small 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
0.875
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9064
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7749
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6279.6731
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0919
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4219
Cross-validation details (10-fold Crossvalidation)
Number of instances
8192
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9074
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9081
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8842
Cross-validation details (10-fold Crossvalidation)
Recall
0.9081
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2179
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4593
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3032
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6601
Cross-validation details (10-fold Crossvalidation)