DEVELOPMENT... OpenML
Run
129809

Run 129809

Task 3913 (Supervised Classification) kc2 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)_I40
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
0.6906
Per class
Build CPU time
0.0727
Build memory
1168074796.5977
F measure
0.7893
Per class
Kappa
0.3424
KB relative information score
106.9955
Mean absolute error
0.2273
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7861
Per class
Predictive accuracy
0.7931
Prior entropy
0.734
Recall
0.7931
Per class
Relative absolute error
0.6959
Root mean prior squared error
0.4037
Root mean squared error
0.4337
Root relative squared error
1.0743
SciMark benchmark
925.481