DEVELOPMENT... OpenML
Run
128899

Run 128899

Task 3561 (Supervised Classification) profb 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
0.6785
Per class
Build CPU time
0.0212
Build memory
1908792313.4524
F measure
0.675
Per class
Kappa
0.25
KB relative information score
101.4825
Mean absolute error
0.3727
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6729
Per class
Predictive accuracy
0.6905
Prior entropy
0.9188
Recall
0.6905
Per class
Relative absolute error
0.8384
Root mean prior squared error
0.4714
Root mean squared error
0.4599
Root relative squared error
0.9755
SciMark benchmark
937.9119