DEVELOPMENT... OpenML
Run
33544

Run 33544

Task 1916 (Supervised Classification) segment Uploaded 15-10-2014 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
0.9994
Per class
Build CPU time
50.5902
Build memory
442799966.88
F measure
0.9791
Per class
Kappa
0.9757
KB relative information score
22083.3659
Mean absolute error
0.0182
Mean prior absolute error
0.2449
Number of instances
23100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9792
Per class
Predictive accuracy
0.9791
Prior entropy
2.8074
Recall
0.9791
Per class
Relative absolute error
0.0742
Root mean prior squared error
0.3499
Root mean squared error
0.073
Root relative squared error
0.2087
SciMark benchmark
945.4255