DEVELOPMENT... OpenML
Run
186781

Run 186781

Task 52 (Supervised Classification) heart-statlog 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
0.871
Per class
F measure
0.8187
Per class
Kappa
0.6334
KB relative information score
142.7494
Mean absolute error
0.2426
Mean prior absolute error
0.4939
Number of instances
270
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8191
Per class
Predictive accuracy
0.8185
Prior entropy
0.9912
Recall
0.8185
Per class
Relative absolute error
0.4913
Root mean prior squared error
0.4969
Root mean squared error
0.3849
Root relative squared error
0.7746
SciMark benchmark
1073.494
UserCPU time millis
190
UserCPU time millis training
190