DEVELOPMENT... OpenML
Run
34001

Run 34001

Task 3564 (Supervised Classification) analcatdata_germangss Uploaded 17-10-2014 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)_I160
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
0.7205
Per class
Build CPU time
2.4154
Build memory
321448917.6
F measure
0.3966
Per class
Kappa
0.21
KB relative information score
73.6143
Mean absolute error
0.3358
Mean prior absolute error
0.375
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3886
Per class
Predictive accuracy
0.4075
Prior entropy
2
Recall
0.4075
Per class
Relative absolute error
0.8956
Root mean prior squared error
0.433
Root mean squared error
0.4068
Root relative squared error
0.9395
SciMark benchmark
938.4017