DEVELOPMENT... OpenML
Run
35214

Run 35214

Task 235 (Supervised Classification) arrhythmia Uploaded 23-10-2014 by Felicia West
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I10
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
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
0.8792
Per class
Build CPU time
4.539
Build memory
2263856672
F measure
0.6828
Per class
Kappa
0.5893
KB relative information score
84.5544
Mean absolute error
0.0463
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
0.6945
Per class
Predictive accuracy
0.7315
Prior entropy
2.5222
Recall
0.7315
Per class
Relative absolute error
0.5273
Root mean prior squared error
0.211
Root mean squared error
0.1579
Root relative squared error
0.7485
SciMark benchmark
944.1447