DEVELOPMENT... OpenML
Run
108989

Run 108989

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

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I80
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.979
Per class
Build CPU time
2.457
Build memory
55852704
F measure
0.939
Per class
Kappa
0.8711
KB relative information score
1206.1976
Mean absolute error
0.1039
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
0.9397
Per class
Predictive accuracy
0.9394
Prior entropy
0.9674
Recall
0.9394
Per class
Relative absolute error
0.218
Root mean prior squared error
0.4875
Root mean squared error
0.2204
Root relative squared error
0.452
SciMark benchmark
939.6298