DEVELOPMENT... OpenML
Run
129848

Run 129848

Task 23 (Supervised Classification) cmc 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)_I80
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
0.5349
Per class
Build CPU time
0.0051
Build memory
232004845.5995
F measure
0.3868
Per class
Kappa
0.0682
KB relative information score
240.9735
Mean absolute error
0.3811
Mean prior absolute error
0.4308
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.386
Per class
Predictive accuracy
0.4284
Prior entropy
1.5392
Recall
0.4284
Per class
Relative absolute error
0.8845
Root mean prior squared error
0.4641
Root mean squared error
0.6173
Root relative squared error
1.3301
SciMark benchmark
916.8903