DEVELOPMENT... OpenML
Run
82102

Run 82102

Task 3881 (Supervised Classification) ipums_la_99-small Uploaded 02-12-2014 by Felicia West
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Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I80
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.8849
Per class
Build CPU time
11.8734
Build memory
796274744.6214
F measure
0.915
Per class
Kappa
0.1328
KB relative information score
-3475.5252
Mean absolute error
0.0977
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
0.9199
Per class
Predictive accuracy
0.9378
Prior entropy
0.3444
Recall
0.9378
Per class
Relative absolute error
0.8118
Root mean prior squared error
0.2452
Root mean squared error
0.2233
Root relative squared error
0.9108
SciMark benchmark
902.5808

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