DEVELOPMENT... OpenML
Run
105401

Run 105401

Task 43 (Supervised Classification) spambase Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.9767
Per class
Build CPU time
15.9403
Build memory
309138203.6149
F measure
0.9344
Per class
Kappa
0.8624
KB relative information score
3837.4776
Mean absolute error
0.0819
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
0.9345
Per class
Predictive accuracy
0.9346
Prior entropy
0.9674
Recall
0.9346
Per class
Relative absolute error
0.1715
Root mean prior squared error
0.4886
Root mean squared error
0.2266
Root relative squared error
0.4637
SciMark benchmark
945.7844