DEVELOPMENT... OpenML
Run
176399

Run 176399

Task 3705 (Supervised Classification) autoHorse 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
0.965
Per class
F measure
0.9411
Per class
Kappa
0.8771
KB relative information score
173.4189
Mean absolute error
0.0779
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9424
Per class
Predictive accuracy
0.9415
Prior entropy
0.9742
Recall
0.9415
Per class
Relative absolute error
0.1615
Root mean prior squared error
0.4909
Root mean squared error
0.229
Root relative squared error
0.4666
SciMark benchmark
1392.1129