DEVELOPMENT... OpenML
Run
130252

Run 130252

Task 3738 (Supervised Classification) rabe_131 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
0.9992
Per class
Build CPU time
0.0043
Build memory
1418523579.2
F measure
0.9801
Per class
Kappa
0.9592
KB relative information score
47.8394
Mean absolute error
0.0203
Mean prior absolute error
0.4877
Number of instances
50
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9809
Per class
Predictive accuracy
0.98
Prior entropy
0.9829
Recall
0.98
Per class
Relative absolute error
0.0416
Root mean prior squared error
0.4936
Root mean squared error
0.1053
Root relative squared error
0.2132
SciMark benchmark
939.0159