Run
477807

Run 477807

Task 1736 (Learning Curve) diabetes Uploaded 30-11-2015 by Jan van Rijn
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Flow

weka.J48(33)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(33)_C0.25
weka.J48(33)_M1

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
0.7317 ± 0.0836
Per class
F measure
0.7377 ± 0.0585
Per class
Kappa
0.4171 ± 0.1355
KB relative information score
248.3809 ± 7.7102
Mean absolute error
0.309 ± 0.0422
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.7362 ± 0.0591
Per class
Predictive accuracy
0.7409 ± 0.0517
Prior entropy
0.9335
Recall
0.7409 ± 0.0517
Per class
Relative absolute error
0.6799 ± 0.0929
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.454 ± 0.0506
Root relative squared error
0.9525 ± 0.1057
SciMark benchmark
1692.1465
UserCPU time millis
10
UserCPU time millis testing
10