Run
296644

Run 296644

Task 1712 (Learning Curve) breast-cancer Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.JRip(4)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(4)_F3
weka.JRip(4)_N2.0
weka.JRip(4)_O2
weka.JRip(4)_S1

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
0.6244 ± 0.0677
Per class
F measure
0.7246 ± 0.0614
Per class
Kappa
0.3112 ± 0.1507
KB relative information score
0.1552 ± 0.0813
Mean absolute error
0.3608 ± 0.0239
Mean prior absolute error
0.4183 ± 0.0068
Number of instances
286
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7423 ± 0.0791
Per class
Predictive accuracy
0.7552 ± 0.0548
Prior entropy
0.8779 ± 0.0209
Recall
0.7552 ± 0.0548
Per class
Relative absolute error
0.8625 ± 0.0572
Root mean prior squared error
0.457 ± 0.0075
Root mean squared error
0.4298 ± 0.0306
Root relative squared error
0.9405 ± 0.0648
SciMark benchmark
1337.9038