DEVELOPMENT... OpenML
Run
33225

Run 33225

Task 3881 (Supervised Classification) ipums_la_99-small Uploaded 14-10-2014 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
0.8542
Per class
Build CPU time
541.5801
Build memory
471545176.5319
F measure
0.9146
Per class
Kappa
0.1234
KB relative information score
-788.0541
Mean absolute error
0.1026
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
0.9255
Per class
Predictive accuracy
0.9386
Prior entropy
0.3444
Recall
0.9386
Per class
Relative absolute error
0.8526
Root mean prior squared error
0.2452
Root mean squared error
0.2245
Root relative squared error
0.916
SciMark benchmark
945.0501