DEVELOPMENT... OpenML
Run
135863

Run 135863

Task 43 (Supervised Classification) spambase Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I80
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.974
Per class
Build CPU time
5.2001
Build memory
2184763712.2313
F measure
0.9436
Per class
Kappa
0.8817
KB relative information score
4054.0616
Mean absolute error
0.0556
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
0.9436
Per class
Predictive accuracy
0.9437
Prior entropy
0.9674
Recall
0.9437
Per class
Relative absolute error
0.1164
Root mean prior squared error
0.4886
Root mean squared error
0.2268
Root relative squared error
0.4641
SciMark benchmark
934.6076