DEVELOPMENT... OpenML
Run
128562

Run 128562

Task 3856 (Supervised Classification) kdd_ipums_la_97-small Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I10
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.9898
Per class
Build CPU time
0.4223
Build memory
747922870.883
F measure
0.9683
Per class
Kappa
0.9323
KB relative information score
6406.7724
Mean absolute error
0.0424
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
0.9688
Per class
Predictive accuracy
0.9682
Prior entropy
0.9504
Recall
0.9682
Per class
Relative absolute error
0.0909
Root mean prior squared error
0.4827
Root mean squared error
0.1597
Root relative squared error
0.3309
SciMark benchmark
929.5397