DEVELOPMENT... OpenML
Run
129878

Run 129878

Task 43 (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
0.9168
Per class
Build CPU time
2.9143
Build memory
1264906325.298
F measure
0.8527
Per class
Kappa
0.6912
KB relative information score
3118.0965
Mean absolute error
0.1521
Mean prior absolute error
0.4776
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8526
Per class
Predictive accuracy
0.8529
Prior entropy
0.9674
Recall
0.8529
Per class
Relative absolute error
0.3185
Root mean prior squared error
0.4886
Root mean squared error
0.3532
Root relative squared error
0.7228
SciMark benchmark
925.481