DEVELOPMENT... OpenML
Run
25948

Run 25948

Task 59 (Supervised Classification) iris Uploaded 07-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_OneR(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.OneR(3)_B6
weka.MultiBoostAB_OneR(2)_C3
weka.MultiBoostAB_OneR(2)_P100
weka.MultiBoostAB_OneR(2)_S1
weka.MultiBoostAB_OneR(2)_I160
weka.MultiBoostAB_OneR(2)_Wweka.classifiers.rules.OneR

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9589
Per class
F measure
0.94
Per class
Kappa
0.91
KB relative information score
137.7859
Mean absolute error
0.0395
Mean prior absolute error
0.4444
Number of instances
150
Per class
Precision
0.9401
Per class
Predictive accuracy
0.94
Prior entropy
1.585
Recall
0.94
Per class
Relative absolute error
0.0889
Root mean prior squared error
0.4714
Root mean squared error
0.1976
Root relative squared error
0.4193