DEVELOPMENT... OpenML
Run
195635

Run 195635

Task 1885 (Supervised Classification) arrhythmia Uploaded 26-02-2015 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
0.7528
Per class
F measure
0.6237
Per class
Kappa
0.4469
KB relative information score
1998.2231
Mean absolute error
0.0437
Mean prior absolute error
0.0855
Number of instances
4520
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6104
Per class
Predictive accuracy
0.6527
Prior entropy
2.5222
Recall
0.6527
Per class
Relative absolute error
0.5106
Root mean prior squared error
0.2055
Root mean squared error
0.2028
Root relative squared error
0.9868
SciMark benchmark
825.5282
UserCPU time millis
866210
UserCPU time millis testing
3890
UserCPU time millis training
862320