DEVELOPMENT... OpenML
Run
176052

Run 176052

Task 1921 (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
0.9782
Per class
F measure
0.9128
Per class
Kappa
0.9059
KB relative information score
6199.7067
Mean absolute error
0.0135
Mean prior absolute error
0.0961
Number of instances
6830
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.915
Per class
Predictive accuracy
0.9142
Prior entropy
3.8572
Recall
0.9142
Per class
Relative absolute error
0.1409
Root mean prior squared error
0.2191
Root mean squared error
0.0873
Root relative squared error
0.3982
SciMark benchmark
1351.788
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20