Run
378196

Run 378196

Task 1769 (Supervised Classification) arrhythmia Uploaded 30-03-2015 by Joaquin Vanschoren
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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
0.7449
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.606
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.4194
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
940.4866
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0452
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.0855
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
2260
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5986
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.6407
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
2.5222
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.6407
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.5279
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.2055
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.2065
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
1.0051
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
1335.974
UserCPU time millis
817530
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis testing
3710
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis training
813820
Cross-validation details (5 times 2-fold Crossvalidation)