DEVELOPMENT... OpenML
Run
130232

Run 130232

Task 3712 (Supervised Classification) wind 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)_I80
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
0.8575
Per class
Build CPU time
1.7929
Build memory
895051832.9066
F measure
0.7777
Per class
Kappa
0.5536
KB relative information score
3546.4256
Mean absolute error
0.2301
Mean prior absolute error
0.4979
Number of instances
6574
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7778
Per class
Predictive accuracy
0.7776
Prior entropy
0.9969
Recall
0.7776
Per class
Relative absolute error
0.4621
Root mean prior squared error
0.4989
Root mean squared error
0.4401
Root relative squared error
0.882
SciMark benchmark
939.0159