DEVELOPMENT... OpenML
Run
186924

Run 186924

Task 235 (Supervised Classification) arrhythmia 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
0.7272
Per class
F measure
0.5496
Per class
Kappa
0.3788
KB relative information score
61.0025
Mean absolute error
0.0513
Mean prior absolute error
0.0878
Number of instances
149
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5649
Per class
Predictive accuracy
0.5906
Prior entropy
2.5222
Recall
0.5906
Per class
Relative absolute error
0.5834
Root mean prior squared error
0.211
Root mean squared error
0.2218
Root relative squared error
1.0512
SciMark benchmark
1310.3951
UserCPU time millis
799510
UserCPU time millis testing
3630
UserCPU time millis training
795880