DEVELOPMENT... OpenML
Run
33998

Run 33998

Task 4570 (Supervised Classification) ipums_la_98-small Uploaded 17-10-2014 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
0.8425
Per class
Build CPU time
512.549
Build memory
549394757.976
F measure
0.8521
Per class
Kappa
0.059
KB relative information score
-2383.5935
Mean absolute error
0.1679
Mean prior absolute error
0.1891
Number of instances
74850
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8595
Per class
Predictive accuracy
0.8949
Prior entropy
0.4871
Recall
0.8949
Per class
Relative absolute error
0.8879
Root mean prior squared error
0.3074
Root mean squared error
0.2876
Root relative squared error
0.9356
SciMark benchmark
939.8948