DEVELOPMENT... OpenML
Run
34429

Run 34429

Task 50 (Supervised Classification) heart-h Uploaded 19-10-2014 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)_I80
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
0.876
Per class
Build CPU time
0.6708
Build memory
1356398121.5782
F measure
0.8105
Per class
Kappa
0.5849
KB relative information score
126.8275
Mean absolute error
0.1042
Mean prior absolute error
0.1867
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8105
Per class
Predictive accuracy
0.8129
Prior entropy
1.0314
Recall
0.8129
Per class
Relative absolute error
0.5582
Root mean prior squared error
0.3037
Root mean squared error
0.2309
Root relative squared error
0.7602
SciMark benchmark
941.2685

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