DEVELOPMENT... OpenML
Run
128596

Run 128596

Task 3901 (Supervised Classification) jEdit_4.2_4.3 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
0.5955
Per class
Build CPU time
0.0078
Build memory
635607254.2439
F measure
0.5904
Per class
Kappa
0.1709
KB relative information score
38.8927
Mean absolute error
0.4458
Mean prior absolute error
0.4944
Number of instances
369
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5901
Per class
Predictive accuracy
0.5908
Prior entropy
0.992
Recall
0.5908
Per class
Relative absolute error
0.9016
Root mean prior squared error
0.4972
Root mean squared error
0.5369
Root relative squared error
1.0798
SciMark benchmark
943.5504