DEVELOPMENT... OpenML
Run
130222

Run 130222

Task 3704 (Supervised Classification) kdd_el_nino-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)_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
0.9786
Per class
Build CPU time
0.1142
Build memory
550548215.0588
F measure
0.9334
Per class
Kappa
0.8534
KB relative information score
660.723
Mean absolute error
0.068
Mean prior absolute error
0.4553
Number of instances
782
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9333
Per class
Predictive accuracy
0.9335
Prior entropy
0.9348
Recall
0.9335
Per class
Relative absolute error
0.1494
Root mean prior squared error
0.4771
Root mean squared error
0.2504
Root relative squared error
0.5249
SciMark benchmark
939.0159