DEVELOPMENT... OpenML
Run
175879

Run 175879

Task 41 (Supervised Classification) soybean 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
0.9785
Per class
F measure
0.9202
Per class
Kappa
0.9133
KB relative information score
621.4453
Mean absolute error
0.0131
Mean prior absolute error
0.0961
Number of instances
683
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.922
Per class
Predictive accuracy
0.9209
Prior entropy
3.8572
Recall
0.9209
Per class
Relative absolute error
0.1368
Root mean prior squared error
0.2191
Root mean squared error
0.086
Root relative squared error
0.3927
SciMark benchmark
1465.2979
UserCPU time millis
30
UserCPU time millis training
30