Run
8862310

Run 8862310

Task 3817 (Supervised Classification) spectrometer 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
0.8664
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.961
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7832
Cross-validation details (10-fold Crossvalidation)
KB relative information score
385.2711
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0377
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1869
Cross-validation details (10-fold Crossvalidation)
Number of instances
531
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9608
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9623
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4849
Cross-validation details (10-fold Crossvalidation)
Recall
0.9623
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2015
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3047
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1941
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6369
Cross-validation details (10-fold Crossvalidation)