DEVELOPMENT... OpenML
Run
34390

Run 34390

Task 3881 (Supervised Classification) ipums_la_99-small Uploaded 19-10-2014 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
0.8423
Per class
Build CPU time
302.8544
Build memory
123072815.5984
F measure
0.9156
Per class
Kappa
0.1379
KB relative information score
-775.7501
Mean absolute error
0.1022
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
0.9237
Per class
Predictive accuracy
0.9386
Prior entropy
0.3444
Recall
0.9386
Per class
Relative absolute error
0.85
Root mean prior squared error
0.2452
Root mean squared error
0.2245
Root relative squared error
0.9159
SciMark benchmark
931.2336

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