DEVELOPMENT... OpenML
Run
186768

Run 186768

Task 37 (Supervised Classification) diabetes 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
0.8053
Per class
F measure
0.7505
Per class
Kappa
0.4469
KB relative information score
253.3523
Mean absolute error
0.3044
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7492
Per class
Predictive accuracy
0.7526
Prior entropy
0.9335
Recall
0.7526
Per class
Relative absolute error
0.6698
Root mean prior squared error
0.4766
Root mean squared error
0.4178
Root relative squared error
0.8766
SciMark benchmark
1066.7184
UserCPU time millis
70
UserCPU time millis testing
10
UserCPU time millis training
60