DEVELOPMENT... OpenML
Run
118483

Run 118483

Task 273 (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
0.9754
Per class
Build CPU time
22.626
Build memory
207443832
F measure
0.936
Per class
Kappa
0.8652
KB relative information score
1264.4111
Mean absolute error
0.0806
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
0.936
Per class
Predictive accuracy
0.9361
Prior entropy
0.9674
Recall
0.9361
Per class
Relative absolute error
0.1692
Root mean prior squared error
0.4875
Root mean squared error
0.226
Root relative squared error
0.4637
SciMark benchmark
937.6343