DEVELOPMENT... OpenML
Run
128433

Run 128433

Task 3719 (Supervised Classification) fishcatch 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
0.9719
Per class
Build CPU time
0.0029
Build memory
1045499784
F measure
0.9305
Per class
Kappa
0.8552
KB relative information score
134.8281
Mean absolute error
0.0686
Mean prior absolute error
0.4797
Number of instances
158
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9306
Per class
Predictive accuracy
0.9304
Prior entropy
0.971
Recall
0.9304
Per class
Relative absolute error
0.143
Root mean prior squared error
0.4896
Root mean squared error
0.2549
Root relative squared error
0.5207
SciMark benchmark
929.5397