DEVELOPMENT... OpenML
Run
28915

Run 28915

Task 3881 (Supervised Classification) ipums_la_99-small Uploaded 10-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I40
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.8888
Per class
Build CPU time
12.1896
Build memory
1022969852.1927
F measure
0.9158
Per class
Kappa
0.1461
KB relative information score
-2638.0646
Mean absolute error
0.0968
Mean prior absolute error
0.1203
Number of instances
8844
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9185
Per class
Predictive accuracy
0.9376
Prior entropy
0.3444
Recall
0.9376
Per class
Relative absolute error
0.8048
Root mean prior squared error
0.2452
Root mean squared error
0.2221
Root relative squared error
0.9058
SciMark benchmark
940.392