Run
8859301

Run 8859301

Task 3498 (Supervised Classification) pasture 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
0.831
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7462
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.625
Cross-validation details (10-fold Crossvalidation)
KB relative information score
16.297
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2901
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
36
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7442
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.75
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.75
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6528
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3768
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7993
Cross-validation details (10-fold Crossvalidation)