DEVELOPMENT... OpenML
Run
129161

Run 129161

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)_I20
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
0.9903
Per class
Build CPU time
0.8273
Build memory
1374380096.6497
F measure
0.9702
Per class
Kappa
0.9362
KB relative information score
6478.6225
Mean absolute error
0.0367
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
0.9705
Per class
Predictive accuracy
0.9701
Prior entropy
0.9504
Recall
0.9701
Per class
Relative absolute error
0.0788
Root mean prior squared error
0.4827
Root mean squared error
0.1579
Root relative squared error
0.3271
SciMark benchmark
937.9119