Run
53308

Run 53308

Task 1736 (Learning Curve) diabetes Uploaded 08-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.J48(13)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(13)_C0.25
weka.J48(13)_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.

21 Evaluation measures

Area under ROC curve
0.7434 ± 0.0857
Per class
Build CPU time
0.0018
Build memory
5368428457.4
F measure
0.7415 ± 0.0554
Per class
Kappa
0.4254 ± 0.1278
KB relative information score
0.3301 ± 0.0979
Mean absolute error
0.3065 ± 0.0415
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.74 ± 0.0544
Per class
Predictive accuracy
0.7448 ± 0.0491
Prior entropy
0.9331 ± 0.0046
Recall
0.7448 ± 0.0491
Per class
Relative absolute error
0.6743 ± 0.0909
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4471 ± 0.0475
Root relative squared error
0.938 ± 0.0988
SciMark benchmark
1676.6751