Run
578837

Run 578837

Task 37 (Supervised Classification) diabetes Uploaded 04-06-2016 by Jan van Rijn
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Flow

weka.NBTree(6)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
Cross-validation details (10-fold Crossvalidation)
F measure
0.7505
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4469
Cross-validation details (10-fold Crossvalidation)
KB relative information score
253.3523
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3044
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.7492
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7526
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7526
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6698
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4178
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8766
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1296.5983
UserCPU time millis
70
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
70
Cross-validation details (10-fold Crossvalidation)