DEVELOPMENT... OpenML
Run
176010

Run 176010

Task 1823 (Supervised Classification) iris Uploaded 21-02-2015 by Jason
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Flow

weka.PART(3)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(3)_C0.25
weka.PART(3)_M2
weka.PART(3)_Q1

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.

22 Evaluation measures

Area under ROC curve
0.9682
Per class
F measure
0.9364
Per class
Kappa
0.904
KB relative information score
674.8731
Mean absolute error
0.0517
Mean prior absolute error
0.4444
Number of instances
750
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9372
Per class
Predictive accuracy
0.936
Prior entropy
1.585
Recall
0.936
Per class
Relative absolute error
0.1163
Root mean prior squared error
0.4714
Root mean squared error
0.1999
Root relative squared error
0.424
SciMark benchmark
1358.4523