DEVELOPMENT... OpenML
Run
128489

Run 128489

Task 3783 (Supervised Classification) fri_c2_500_50 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
0.8825
Per class
Build CPU time
0.0552
Build memory
472207897.6
F measure
0.8231
Per class
Kappa
0.6329
KB relative information score
302.1981
Mean absolute error
0.1922
Mean prior absolute error
0.4839
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8232
Per class
Predictive accuracy
0.824
Prior entropy
0.9767
Recall
0.824
Per class
Relative absolute error
0.3972
Root mean prior squared error
0.4918
Root mean squared error
0.3762
Root relative squared error
0.7649
SciMark benchmark
943.5504