DEVELOPMENT... OpenML
Run
129640

Run 129640

Task 3725 (Supervised Classification) auto93 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
0.781
Per class
Build CPU time
0.0217
Build memory
1350085691.871
F measure
0.6922
Per class
Kappa
0.3361
KB relative information score
34.3795
Mean absolute error
0.2858
Mean prior absolute error
0.4701
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6916
Per class
Predictive accuracy
0.6989
Prior entropy
0.9573
Recall
0.6989
Per class
Relative absolute error
0.6081
Root mean prior squared error
0.4845
Root mean squared error
0.517
Root relative squared error
1.0672
SciMark benchmark
916.8903