DEVELOPMENT... OpenML
Run
165625

Run 165625

Task 5 (Supervised Classification) arrhythmia Uploaded 17-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I160
weka.MultiBoostAB_NaiveBayes(2)_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.

22 Evaluation measures

Area under ROC curve
0.7944
Per class
F measure
0.6525
Per class
Kappa
0.4937
KB relative information score
124.1518
Mean absolute error
0.0762
Mean prior absolute error
0.0855
Number of instances
452
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6526
Per class
Predictive accuracy
0.6571
Prior entropy
2.5222
Recall
0.6571
Per class
Relative absolute error
0.8905
Root mean prior squared error
0.2055
Root mean squared error
0.1875
Root relative squared error
0.9126
SciMark benchmark
926.6717
UserCPU time millis
8410
UserCPU time millis testing
2810
UserCPU time millis training
5600