DEVELOPMENT... OpenML
Run
129919

Run 129919

Task 273 (Supervised Classification) spambase 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
0.9035
Per class
Build CPU time
2.415
Build memory
864306880
F measure
0.8469
Per class
Kappa
0.6774
KB relative information score
998.5643
Mean absolute error
0.1603
Mean prior absolute error
0.4764
Number of instances
1518
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8468
Per class
Predictive accuracy
0.8472
Prior entropy
0.9674
Recall
0.8472
Per class
Relative absolute error
0.3365
Root mean prior squared error
0.4875
Root mean squared error
0.3651
Root relative squared error
0.7489
SciMark benchmark
925.481