DEVELOPMENT... OpenML
Run
115335

Run 115335

Task 235 (Supervised Classification) arrhythmia Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_JRip(2)_I80
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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.

21 Evaluation measures

Area under ROC curve
0.8055
Per class
Build CPU time
40.967
Build memory
387872312
F measure
0.6931
Per class
Kappa
0.5972
KB relative information score
87.8266
Mean absolute error
0.0326
Mean prior absolute error
0.0878
Number of instances
149
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6969
Per class
Predictive accuracy
0.7383
Prior entropy
2.5222
Recall
0.7383
Per class
Relative absolute error
0.3709
Root mean prior squared error
0.211
Root mean squared error
0.1787
Root relative squared error
0.8468
SciMark benchmark
945.0532