DEVELOPMENT... OpenML
Run
187174

Run 187174

Task 5 (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
0.7385
Per class
F measure
0.6031
Per class
Kappa
0.4172
KB relative information score
191.8473
Mean absolute error
0.045
Mean prior absolute error
0.0855
Number of instances
452
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5872
Per class
Predictive accuracy
0.6372
Prior entropy
2.5222
Recall
0.6372
Per class
Relative absolute error
0.5258
Root mean prior squared error
0.2055
Root mean squared error
0.2057
Root relative squared error
1.0009
SciMark benchmark
1250.8301
UserCPU time millis
821160
UserCPU time millis testing
3800
UserCPU time millis training
817360