Run
304065

Run 304065

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_Standardize_NaiveBayes(1)Weka implementation of FilteredClassifier
weka.FilteredClassifier_Standardize_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

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
0.8139 ± 0.0447
Per class
F measure
0.7497 ± 0.0397
Per class
Kappa
0.444 ± 0.0921
KB relative information score
0.3632 ± 0.0576
Mean absolute error
0.2879 ± 0.024
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
0.7484 ± 0.0432
Per class
Predictive accuracy
0.7526 ± 0.038
Prior entropy
0.9331 ± 0.0046
Recall
0.7526 ± 0.038
Per class
Relative absolute error
0.6334 ± 0.0519
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.423 ± 0.0317
Root relative squared error
0.8874 ± 0.0656
SciMark benchmark
1353.9654
UserCPU time millis
10
UserCPU time millis testing
10