DEVELOPMENT... OpenML
Run
33278

Run 33278

Task 55 (Supervised Classification) vote Uploaded 14-10-2014 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
0.9736
Per class
Build CPU time
0.5739
Build memory
1093285546.8506
F measure
0.9611
Per class
Kappa
0.9182
KB relative information score
375.8712
Mean absolute error
0.0713
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9617
Per class
Predictive accuracy
0.9609
Prior entropy
0.9627
Recall
0.9609
Per class
Relative absolute error
0.1504
Root mean prior squared error
0.4869
Root mean squared error
0.1857
Root relative squared error
0.3815
SciMark benchmark
938.8231