DEVELOPMENT... OpenML
Run
128073

Run 128073

Task 55 (Supervised Classification) vote 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
0.9892
Per class
Build CPU time
0.0047
Build memory
1355457419.1264
F measure
0.9587
Per class
Kappa
0.9129
KB relative information score
386.2332
Mean absolute error
0.0548
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9588
Per class
Predictive accuracy
0.9586
Prior entropy
0.9627
Recall
0.9586
Per class
Relative absolute error
0.1156
Root mean prior squared error
0.4869
Root mean squared error
0.1842
Root relative squared error
0.3782
SciMark benchmark
908.8705