DEVELOPMENT... OpenML
Run
35285

Run 35285

Task 4221 (Supervised Classification) ipums_la_98-small Uploaded 23-10-2014 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)_I80
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
0.9701
Per class
Build CPU time
1662.3262
Build memory
2776877161.7346
F measure
0.7111
Per class
Kappa
0.4868
KB relative information score
33739.255
Mean absolute error
0.0995
Mean prior absolute error
0.1598
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
0.6972
Per class
Predictive accuracy
0.7554
Prior entropy
1.7643
Recall
0.7554
Per class
Relative absolute error
0.6226
Root mean prior squared error
0.2826
Root mean squared error
0.2107
Root relative squared error
0.7456
SciMark benchmark
943.1851