DEVELOPMENT... OpenML
Run
129573

Run 129573

Task 3646 (Supervised Classification) rabe_265 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
0.5944
Per class
Build CPU time
0.0082
Build memory
961135014.5882
F measure
0.6044
Per class
Kappa
0.1787
KB relative information score
8.4558
Mean absolute error
0.399
Mean prior absolute error
0.485
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6027
Per class
Predictive accuracy
0.6078
Prior entropy
0.9791
Recall
0.6078
Per class
Relative absolute error
0.8227
Root mean prior squared error
0.4922
Root mean squared error
0.6158
Root relative squared error
1.2513
SciMark benchmark
916.8903