DEVELOPMENT... OpenML
Run
187282

Run 187282

Task 3656 (Supervised Classification) diabetes_numeric Uploaded 25-02-2015 by Felicia West
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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
0.6029
Per class
F measure
0.6266
Per class
Kappa
0.2144
KB relative information score
6.8237
Mean absolute error
0.4094
Mean prior absolute error
0.4791
Number of instances
43
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6403
Per class
Predictive accuracy
0.6512
Prior entropy
0.971
Recall
0.6512
Per class
Relative absolute error
0.8546
Root mean prior squared error
0.4889
Root mean squared error
0.4704
Root relative squared error
0.9621
SciMark benchmark
1250.8301