DEVELOPMENT... OpenML
Run
28814

Run 28814

Task 3865 (Supervised Classification) ipums_la_98-small Uploaded 09-10-2014 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
0.8479
Per class
Build CPU time
14.2098
Build memory
1984410865.2398
F measure
0.8622
Per class
Kappa
0.1369
KB relative information score
-1593.1421
Mean absolute error
0.153
Mean prior absolute error
0.1891
Number of instances
7485
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8659
Per class
Predictive accuracy
0.8963
Prior entropy
0.4871
Recall
0.8963
Per class
Relative absolute error
0.8091
Root mean prior squared error
0.3074
Root mean squared error
0.28
Root relative squared error
0.9108
SciMark benchmark
941.9618