Run
291529

Run 291529

Task 74 (Learning Curve) breast-w Uploaded 16-03-2015 by Joaquin Vanschoren
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Flow

weka.J48(28)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(28)_C0.25
weka.J48(28)_M2

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
0.9553 ± 0.0291
Per class
F measure
0.948 ± 0.0239
Per class
Kappa
0.8853 ± 0.0526
KB relative information score
0.8547 ± 0.0527
Mean absolute error
0.0677 ± 0.0226
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
6990
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9483 ± 0.0231
Per class
Predictive accuracy
0.9479 ± 0.0239
Prior entropy
0.9293 ± 0.0041
Recall
0.9479 ± 0.0239
Per class
Relative absolute error
0.1497 ± 0.0499
Root mean prior squared error
0.4753 ± 0.0014
Root mean squared error
0.2175 ± 0.0572
Root relative squared error
0.4576 ± 0.1203
SciMark benchmark
1328.1294