DEVELOPMENT... OpenML
Run
113139

Run 113139

Task 43 (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
0.9811
Per class
Build CPU time
6.2054
Build memory
476823735.4627
F measure
0.9506
Per class
Kappa
0.8965
KB relative information score
4123.126
Mean absolute error
0.0486
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
0.9506
Per class
Predictive accuracy
0.9507
Prior entropy
0.9674
Recall
0.9507
Per class
Relative absolute error
0.1019
Root mean prior squared error
0.4886
Root mean squared error
0.2096
Root relative squared error
0.4289
SciMark benchmark
930.5854