DEVELOPMENT... OpenML
Run
129888

Run 129888

Task 241 (Supervised Classification) balance-scale 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
0.9095
Per class
Build CPU time
0.008
Build memory
266085504
F measure
0.6891
Per class
Kappa
0.5094
KB relative information score
60.6635
Mean absolute error
0.3013
Mean prior absolute error
0.3857
Number of instances
206
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6659
Per class
Predictive accuracy
0.7282
Prior entropy
1.3212
Recall
0.7282
Per class
Relative absolute error
0.7811
Root mean prior squared error
0.4424
Root mean squared error
0.356
Root relative squared error
0.8046
SciMark benchmark
916.8903