Run
8867818

Run 8867818

Task 9 (Supervised Classification) autos 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
0.8823
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7003
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6188
Cross-validation details (10-fold Crossvalidation)
KB relative information score
36.6688
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2101
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2209
Cross-validation details (10-fold Crossvalidation)
Number of instances
205
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7041
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7073
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3268
Cross-validation details (10-fold Crossvalidation)
Recall
0.7073
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9508
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3318
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3107
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9366
Cross-validation details (10-fold Crossvalidation)