DEVELOPMENT... OpenML
Run
186779

Run 186779

Task 50 (Supervised Classification) heart-h 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
0.8955
Per class
F measure
0.832
Per class
Kappa
0.6333
KB relative information score
150.0725
Mean absolute error
0.0844
Mean prior absolute error
0.1867
Number of instances
294
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8317
Per class
Predictive accuracy
0.8333
Prior entropy
1.0314
Recall
0.8333
Per class
Relative absolute error
0.4523
Root mean prior squared error
0.3037
Root mean squared error
0.2294
Root relative squared error
0.7554
SciMark benchmark
1073.494
UserCPU time millis
450
UserCPU time millis testing
10
UserCPU time millis training
440