DEVELOPMENT... OpenML
Run
115771

Run 115771

Task 3856 (Supervised Classification) kdd_ipums_la_97-small Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_JRip(2)_I80
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
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
0.9904
Per class
Build CPU time
24.9917
Build memory
1181759172.8246
F measure
0.9732
Per class
Kappa
0.9426
KB relative information score
6559.1813
Mean absolute error
0.0305
Mean prior absolute error
0.466
Number of instances
7019
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9736
Per class
Predictive accuracy
0.9731
Prior entropy
0.9504
Recall
0.9731
Per class
Relative absolute error
0.0655
Root mean prior squared error
0.4827
Root mean squared error
0.1547
Root relative squared error
0.3206
SciMark benchmark
913.3372