DEVELOPMENT... OpenML
Run
178044

Run 178044

Task 59 (Supervised Classification) iris Uploaded 23-02-2015 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
0.9496
Per class
F measure
0.9405
Per class
Kappa
0.91
KB relative information score
135.3755
Mean absolute error
0.0512
Mean prior absolute error
0.4444
Number of instances
150
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9419
Per class
Predictive accuracy
0.94
Prior entropy
1.585
Recall
0.94
Per class
Relative absolute error
0.1153
Root mean prior squared error
0.4714
Root mean squared error
0.1934
Root relative squared error
0.4102
SciMark benchmark
1384.4418