DEVELOPMENT... OpenML
Run
33665

Run 33665

Task 4509 (Supervised Classification) lowbwt 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
0.8719
Per class
Build CPU time
0.3893
Build memory
173103136.1651
F measure
0.8311
Per class
Kappa
0.665
KB relative information score
1062.085
Mean absolute error
0.2305
Mean prior absolute error
0.4989
Number of instances
1890
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8565
Per class
Predictive accuracy
0.8349
Prior entropy
0.9984
Recall
0.8349
Per class
Relative absolute error
0.4621
Root mean prior squared error
0.4994
Root mean squared error
0.3485
Root relative squared error
0.6978
SciMark benchmark
948.2249