DEVELOPMENT... OpenML
Run
130251

Run 130251

Task 3737 (Supervised Classification) fri_c3_250_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)_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
0.8711
Per class
Build CPU time
0.2346
Build memory
1126050322.4
F measure
0.8269
Per class
Kappa
0.646
KB relative information score
160.8889
Mean absolute error
0.1736
Mean prior absolute error
0.4908
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.828
Per class
Predictive accuracy
0.828
Prior entropy
0.9868
Recall
0.828
Per class
Relative absolute error
0.3536
Root mean prior squared error
0.4954
Root mean squared error
0.404
Root relative squared error
0.8157
SciMark benchmark
925.481