DEVELOPMENT... OpenML
Run
128667

Run 128667

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)_I20
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
0.9019
Per class
Build CPU time
0.7241
Build memory
541928912.8311
F measure
0.8378
Per class
Kappa
0.6597
KB relative information score
2861.8561
Mean absolute error
0.1813
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
0.8376
Per class
Predictive accuracy
0.8381
Prior entropy
0.9674
Recall
0.8381
Per class
Relative absolute error
0.3797
Root mean prior squared error
0.4886
Root mean squared error
0.3569
Root relative squared error
0.7303
SciMark benchmark
943.5504