DEVELOPMENT... OpenML
Run
177297

Run 177297

Task 4574 (Supervised Classification) lymph 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
0.8289
Per class
F measure
0.7943
Per class
Kappa
0.5843
KB relative information score
816.7652
Mean absolute error
0.2257
Mean prior absolute error
0.4956
Number of instances
1480
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7943
Per class
Predictive accuracy
0.7946
Prior entropy
0.9937
Recall
0.7946
Per class
Relative absolute error
0.4555
Root mean prior squared error
0.4978
Root mean squared error
0.4245
Root relative squared error
0.8528
SciMark benchmark
1330.0803