DEVELOPMENT... OpenML
Run
128571

Run 128571

Task 3865 (Supervised Classification) ipums_la_98-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
0.7108
Per class
Build CPU time
0.4068
Build memory
739339845.3173
F measure
0.8457
Per class
Kappa
0.0781
KB relative information score
-895.777
Mean absolute error
0.1513
Mean prior absolute error
0.1891
Number of instances
7485
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8291
Per class
Predictive accuracy
0.8697
Prior entropy
0.4871
Recall
0.8697
Per class
Relative absolute error
0.8002
Root mean prior squared error
0.3074
Root mean squared error
0.3272
Root relative squared error
1.0642
SciMark benchmark
929.5397