OpenML
303996

Run 303996

Task 65 (Learning Curve) arrhythmia Uploaded 18-03-2015 by Joaquin Vanschoren
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Flow

weka.FilteredClassifier_Standardize_NaiveBayes(1)Weka implementation of FilteredClassifier
weka.FilteredClassifier_Standardize_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

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.

20 Evaluation measures

Area under ROC curve
0.776 ± 0.0498
Per class
Kappa
0.4551 ± 0.0879
KB relative information score
0.4481 ± 0.0852
Mean absolute error
0.0464 ± 0.0074
Mean prior absolute error
0.0855 ± 0.0007
Number of instances
4520
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.6303 ± 0.0615
Prior entropy
2.4124 ± 0.056
Recall
0.6303 ± 0.0615
Per class
Relative absolute error
0.5423 ± 0.0868
Root mean prior squared error
0.2055 ± 0.0018
Root mean squared error
0.212 ± 0.0179
Root relative squared error
1.0318 ± 0.0872
SciMark benchmark
1342.2505
UserCPU time millis
620
UserCPU time millis testing
610
UserCPU time millis training
10