DEVELOPMENT... OpenML
Run
111342

Run 111342

Task 273 (Supervised Classification) spambase Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I160
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.9012
Per class
Build CPU time
891.692
Build memory
362298440
F measure
0.9058
Per class
Kappa
0.8017
KB relative information score
1208.3188
Mean absolute error
0.0939
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
0.9058
Per class
Predictive accuracy
0.9058
Prior entropy
0.9674
Recall
0.9058
Per class
Relative absolute error
0.197
Root mean prior squared error
0.4875
Root mean squared error
0.3061
Root relative squared error
0.628
SciMark benchmark
943.4039