Run
8858802

Run 8858802

Task 40 (Supervised Classification) glass 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
0.7312
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5026
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3364
Cross-validation details (10-fold Crossvalidation)
KB relative information score
27.4419
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2137
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2116
Cross-validation details (10-fold Crossvalidation)
Number of instances
214
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5125
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5467
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2315
Cross-validation details (10-fold Crossvalidation)
Recall
0.5467
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0102
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3244
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3167
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9762
Cross-validation details (10-fold Crossvalidation)