DEVELOPMENT... OpenML
Run
118446

Run 118446

Task 43 (Supervised Classification) spambase Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9774
Per class
Build CPU time
29.4991
Build memory
151000176.3251
F measure
0.9376
Per class
Kappa
0.8692
KB relative information score
3857.7329
Mean absolute error
0.0796
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
0.9376
Per class
Predictive accuracy
0.9376
Prior entropy
0.9674
Recall
0.9376
Per class
Relative absolute error
0.1666
Root mean prior squared error
0.4886
Root mean squared error
0.2249
Root relative squared error
0.4602
SciMark benchmark
942.3919