Run
8862522

Run 8862522

Task 3817 (Supervised Classification) spectrometer Uploaded 27-02-2018 by William Raynaut
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Flow

weka.kf.AdaBoostM1-SMO(1)A Weka KnowledgeFlow using AdaBoostM1-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
0.8402
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9563
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7531
Cross-validation details (10-fold Crossvalidation)
KB relative information score
371.2017
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0414
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
0.9567
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9586
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4849
Cross-validation details (10-fold Crossvalidation)
Recall
0.9586
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2217
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3047
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2035
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.668
Cross-validation details (10-fold Crossvalidation)