DEVELOPMENT... OpenML
Run
155372

Run 155372

Task 1736 (Learning Curve) diabetes Uploaded 11-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.NBTree(3)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

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
0.8007 ± 0.0455
Per class
F measure
0.7502 ± 0.0365
Per class
Kappa
0.4459 ± 0.0802
KB relative information score
0.3259 ± 0.0642
Mean absolute error
0.3081 ± 0.0266
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
0.7489 ± 0.0362
Per class
Predictive accuracy
0.7526 ± 0.0357
Prior entropy
0.9331 ± 0.0046
Recall
0.7526 ± 0.0357
Per class
Relative absolute error
0.678 ± 0.057
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4189 ± 0.029
Root relative squared error
0.8789 ± 0.0591
SciMark benchmark
646.4525
UserCPU time millis
90
UserCPU time millis testing
10
UserCPU time millis training
80