DEVELOPMENT... OpenML
Run
129316

Run 129316

Task 277 (Supervised Classification) tae 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)_I40
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
0.5391
Per class
Build CPU time
0.001
Build memory
927623712
F measure
0.3808
Per class
Kappa
0.0789
KB relative information score
8.0005
Mean absolute error
0.4082
Mean prior absolute error
0.4445
Number of instances
49
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3792
Per class
Predictive accuracy
0.3878
Prior entropy
1.5845
Recall
0.3878
Per class
Relative absolute error
0.9183
Root mean prior squared error
0.4715
Root mean squared error
0.6389
Root relative squared error
1.355
SciMark benchmark
937.9119