Run
307958

Run 307958

Task 96 (Learning Curve) diabetes Uploaded 19-03-2015 by Joaquin Vanschoren
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)Weka implementation of AttributeSelectedClassifier
weka.J48(28)_C0.25
weka.J48(28)_M2
weka.BestFirst(3)_D1
weka.BestFirst(3)_N5
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)_Wweka.classifiers.trees.J48
weka.CfsSubsetEval(4)_P1
weka.CfsSubsetEval(4)_E1

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
0.769 ± 0.0667
Per class
F measure
0.73 ± 0.0474
Per class
Kappa
0.3984 ± 0.1039
KB relative information score
0.293 ± 0.0795
Mean absolute error
0.3242 ± 0.0336
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7285 ± 0.0483
Per class
Predictive accuracy
0.7346 ± 0.046
Prior entropy
0.9331 ± 0.0044
Recall
0.7346 ± 0.046
Per class
Relative absolute error
0.7134 ± 0.0738
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.4298 ± 0.0324
Root relative squared error
0.9017 ± 0.0682
SciMark benchmark
1360.0573