DEVELOPMENT... OpenML
Run
113141

Run 113141

Task 273 (Supervised Classification) spambase Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I10
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9799
Per class
Build CPU time
6.087
Build memory
711437536
F measure
0.9551
Per class
Kappa
0.9054
KB relative information score
1361.6352
Mean absolute error
0.047
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
0.9551
Per class
Predictive accuracy
0.9552
Prior entropy
0.9674
Recall
0.9552
Per class
Relative absolute error
0.0987
Root mean prior squared error
0.4875
Root mean squared error
0.2065
Root relative squared error
0.4236
SciMark benchmark
939.6298