Run
8863538

Run 8863538

Task 9909 (Supervised Classification) autoUniv-au1-1000 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
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6308
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
252.9107
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.259
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3841
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5491
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.741
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.826
Cross-validation details (10-fold Crossvalidation)
Recall
0.741
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6744
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5089
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1617
Cross-validation details (10-fold Crossvalidation)