OpenML
8870096

Run 8870096

Task 3497 (Supervised Classification) grub-damage Uploaded 02-03-2018 by William Raynaut
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Flow

weka.kf.AttributeSelection-Ranker-InfoGain-Standardize-IBk5(1)A Weka KnowledgeFlow using AttributeSelection-Ranker-InfoGain-Standardize-IBk5.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
0.6988
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4007
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1816
Cross-validation details (10-fold Crossvalidation)
KB relative information score
42.8474
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3018
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3638
Cross-validation details (10-fold Crossvalidation)
Number of instances
155
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4003
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4129
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9281
Cross-validation details (10-fold Crossvalidation)
Recall
0.4129
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8296
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4263
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.411
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9641
Cross-validation details (10-fold Crossvalidation)