OpenML
14945

Run 14945

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

weka.MultiBoostAB_OneR(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_OneR(1)_C3
weka.MultiBoostAB_OneR(1)_I160
weka.MultiBoostAB_OneR(1)_P100
weka.MultiBoostAB_OneR(1)_S1
weka.MultiBoostAB_OneR(1)_Wweka.classifiers.rules.OneR
weka.OneR(1)_B6

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
0.9589
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.94
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.91
Cross-validation details (10-fold Crossvalidation)
KB relative information score
137.7859
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0395
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
0.9401
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.94
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.94
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0889
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1976
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4193
Cross-validation details (10-fold Crossvalidation)