Run
8868230

Run 8868230

Task 145915 (Supervised Classification) autoUniv-au6-400 Uploaded 01-03-2018 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
0.5064
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1206
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
18.6394
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.208
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2075
Cross-validation details (10-fold Crossvalidation)
Number of instances
400
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.077
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2775
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.7777
Cross-validation details (10-fold Crossvalidation)
Recall
0.2775
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0021
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.322
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3245
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0078
Cross-validation details (10-fold Crossvalidation)