DEVELOPMENT... OpenML
Run
128447

Run 128447

Task 3734 (Supervised Classification) fri_c1_500_5 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
0.872
Per class
Build CPU time
0.0099
Build memory
159549103.2
F measure
0.7961
Per class
Kappa
0.5908
KB relative information score
281.3269
Mean absolute error
0.2203
Mean prior absolute error
0.4977
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
0.7965
Per class
Predictive accuracy
0.796
Prior entropy
0.9967
Recall
0.796
Per class
Relative absolute error
0.4427
Root mean prior squared error
0.4988
Root mean squared error
0.4049
Root relative squared error
0.8116
SciMark benchmark
929.5397