DEVELOPMENT... OpenML
Run
128480

Run 128480

Task 3770 (Supervised Classification) chscase_census4 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
0.4965
Per class
Build CPU time
0.0108
Build memory
591569384.8
F measure
0.4995
Per class
Kappa
-0.0021
KB relative information score
-1.8175
Mean absolute error
0.501
Mean prior absolute error
0.4996
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4994
Per class
Predictive accuracy
0.5
Prior entropy
0.9994
Recall
0.5
Per class
Relative absolute error
1.0028
Root mean prior squared error
0.4998
Root mean squared error
0.6069
Root relative squared error
1.2143
SciMark benchmark
943.5504