DEVELOPMENT... OpenML
Run
130129

Run 130129

Task 3599 (Supervised Classification) machine_cpu 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
0.9537
Per class
Build CPU time
0.0354
Build memory
933675930.1435
F measure
0.9419
Per class
Kappa
0.8503
KB relative information score
172.1641
Mean absolute error
0.0619
Mean prior absolute error
0.3933
Number of instances
209
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9421
Per class
Predictive accuracy
0.9426
Prior entropy
0.8417
Recall
0.9426
Per class
Relative absolute error
0.1575
Root mean prior squared error
0.4429
Root mean squared error
0.2355
Root relative squared error
0.5317
SciMark benchmark
925.481