DEVELOPMENT... OpenML
Run
129211

Run 129211

Task 3915 (Supervised Classification) kc3 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)_I20
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
0.6563
Per class
Build CPU time
0.0555
Build memory
1299378597.4847
F measure
0.8507
Per class
Kappa
0.0273
KB relative information score
-27.9628
Mean absolute error
0.1308
Mean prior absolute error
0.1716
Number of instances
458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.835
Per class
Predictive accuracy
0.869
Prior entropy
0.4551
Recall
0.869
Per class
Relative absolute error
0.7625
Root mean prior squared error
0.2917
Root mean squared error
0.3472
Root relative squared error
1.1903
SciMark benchmark
937.9119