DEVELOPMENT... OpenML
Run
129132

Run 129132

Task 3827 (Supervised Classification) pasture 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
0.8681
Per class
Build CPU time
0.0039
Build memory
1954207624
F measure
0.7974
Per class
Kappa
0.5333
KB relative information score
18.9281
Mean absolute error
0.2026
Mean prior absolute error
0.4474
Number of instances
36
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8025
Per class
Predictive accuracy
0.8056
Prior entropy
0.9268
Recall
0.8056
Per class
Relative absolute error
0.4528
Root mean prior squared error
0.4715
Root mean squared error
0.4392
Root relative squared error
0.9316
SciMark benchmark
937.9119