OpenML
14948

Run 14948

Task 59 (Supervised Classification) iris Uploaded 03-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_JRip(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1
weka.MultiBoostAB_JRip(1)_C3
weka.MultiBoostAB_JRip(1)_I40
weka.MultiBoostAB_JRip(1)_P100
weka.MultiBoostAB_JRip(1)_S1
weka.MultiBoostAB_JRip(1)_Wweka.classifiers.rules.JRip

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
0.9768
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9533
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.93
Cross-validation details (10-fold Crossvalidation)
KB relative information score
139.9387
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0332
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9534
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9533
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9533
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0746
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1773
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3761
Cross-validation details (10-fold Crossvalidation)