DEVELOPMENT... OpenML
Run
128114

Run 128114

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)_I10
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
0.8574
Per class
Build CPU time
0.282
Build memory
533428728
F measure
0.7898
Per class
Kappa
0.5545
KB relative information score
780.3251
Mean absolute error
0.2313
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
0.7898
Per class
Predictive accuracy
0.7918
Prior entropy
0.9674
Recall
0.7918
Per class
Relative absolute error
0.4854
Root mean prior squared error
0.4875
Root mean squared error
0.3976
Root relative squared error
0.8157
SciMark benchmark
929.5397