Run
291526

Run 291526

Task 70 (Learning Curve) balance-scale 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
0.8251 ± 0.0403
Per class
F measure
0.7631 ± 0.0384
Per class
Kappa
0.6014 ± 0.0719
KB relative information score
0.5177 ± 0.0598
Mean absolute error
0.1772 ± 0.0251
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
6250
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7479 ± 0.0388
Per class
Predictive accuracy
0.779 ± 0.0424
Prior entropy
1.3181 ± 0.0119
Recall
0.779 ± 0.0424
Per class
Relative absolute error
0.4666 ± 0.0658
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3575 ± 0.0327
Root relative squared error
0.8207 ± 0.0749
SciMark benchmark
1347.2843