DEVELOPMENT... OpenML
Run
176024

Run 176024

Task 1893 (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
0.6073
Per class
F measure
0.6817
Per class
Kappa
0.2101
KB relative information score
271.2062
Mean absolute error
0.3681
Mean prior absolute error
0.4183
Number of instances
2860
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6763
Per class
Predictive accuracy
0.7014
Prior entropy
0.8796
Recall
0.7014
Per class
Relative absolute error
0.8799
Root mean prior squared error
0.457
Root mean squared error
0.4774
Root relative squared error
1.0446
SciMark benchmark
1341.2341