DEVELOPMENT... OpenML
Run
128240

Run 128240

Task 3060 (Supervised Classification) squash-stored 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)_I10
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
0.6216
Per class
Build CPU time
0.002
Build memory
359363984
F measure
0.4651
Per class
Kappa
0.1257
KB relative information score
3.5808
Mean absolute error
0.3507
Mean prior absolute error
0.4164
Number of instances
17
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4673
Per class
Predictive accuracy
0.4706
Prior entropy
1.4782
Recall
0.4706
Per class
Relative absolute error
0.8423
Root mean prior squared error
0.4569
Root mean squared error
0.4988
Root relative squared error
1.0917
SciMark benchmark
943.5504