DEVELOPMENT... OpenML
Run
130933

Run 130933

Task 3827 (Supervised Classification) pasture 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)_I160
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
0.8333
Per class
Build CPU time
0.0301
Build memory
1169408957.1111
F measure
0.8595
Per class
Kappa
0.6809
KB relative information score
24.0713
Mean absolute error
0.1389
Mean prior absolute error
0.4474
Number of instances
36
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8594
Per class
Predictive accuracy
0.8611
Prior entropy
0.9268
Recall
0.8611
Per class
Relative absolute error
0.3105
Root mean prior squared error
0.4715
Root mean squared error
0.3727
Root relative squared error
0.7904
SciMark benchmark
927.3354