DEVELOPMENT... OpenML
Run
34125

Run 34125

Task 4351 (Supervised Classification) rabe_265 Uploaded 18-10-2014 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
0.708
Per class
Build CPU time
0.1002
Build memory
3478526247.7961
F measure
0.7115
Per class
Kappa
0.4004
KB relative information score
106.407
Mean absolute error
0.3957
Mean prior absolute error
0.485
Number of instances
510
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7219
Per class
Predictive accuracy
0.7216
Prior entropy
0.9791
Recall
0.7216
Per class
Relative absolute error
0.8159
Root mean prior squared error
0.4922
Root mean squared error
0.4564
Root relative squared error
0.9274
SciMark benchmark
939.4429