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Run
175966

Run 175966

Task 1777 (Supervised Classification) breast-cancer 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
0.5745
Per class
F measure
0.655
Per class
Kappa
0.1427
KB relative information score
87.6694
Mean absolute error
0.3793
Mean prior absolute error
0.4183
Number of instances
1430
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6469
Per class
Predictive accuracy
0.6783
Prior entropy
0.8796
Recall
0.6783
Per class
Relative absolute error
0.9068
Root mean prior squared error
0.457
Root mean squared error
0.4929
Root relative squared error
1.0785
SciMark benchmark
1466.6185