Run
304223

Run 304223

Task 1736 (Learning Curve) diabetes Uploaded 18-03-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.FilteredClassifier_Discretize_J48(4)Weka implementation of FilteredClassifier
weka.J48(28)_C0.25
weka.J48(28)_M2
weka.FilteredClassifier_Discretize_J48(4)_Fweka.filters.supervised.attribute.Discretize
weka.FilteredClassifier_Discretize_J48(4)_Wweka.classifiers.trees.J48
weka.Discretize(3)_Rfirst-last
weka.Discretize(3)_precision6

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
0.7932 ± 0.0564
Per class
F measure
0.756 ± 0.0364
Per class
Kappa
0.4595 ± 0.0809
KB relative information score
0.3137 ± 0.0592
Mean absolute error
0.3175 ± 0.0243
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7549 ± 0.0354
Per class
Predictive accuracy
0.7578 ± 0.0356
Prior entropy
0.9331 ± 0.0046
Recall
0.7578 ± 0.0356
Per class
Relative absolute error
0.6986 ± 0.0527
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4131 ± 0.0295
Root relative squared error
0.8668 ± 0.061
SciMark benchmark
1335.2676