DEVELOPMENT... OpenML
Run
33500

Run 33500

Task 1901 (Supervised Classification) car 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
0.9865
Per class
Build CPU time
47.1285
Build memory
1222677683.5898
F measure
0.9119
Per class
Kappa
0.8087
KB relative information score
12185.0415
Mean absolute error
0.0843
Mean prior absolute error
0.229
Number of instances
17280
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9127
Per class
Predictive accuracy
0.9118
Prior entropy
1.2099
Recall
0.9118
Per class
Relative absolute error
0.3681
Root mean prior squared error
0.3381
Root mean squared error
0.1816
Root relative squared error
0.537
SciMark benchmark
944.0338