DEVELOPMENT... OpenML
Run
108480

Run 108480

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)_I160
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
0.9805
Per class
Build CPU time
6.16
Build memory
470578176
F measure
0.9391
Per class
Kappa
0.8712
KB relative information score
1229.1477
Mean absolute error
0.0959
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
0.9396
Per class
Predictive accuracy
0.9394
Prior entropy
0.9674
Recall
0.9394
Per class
Relative absolute error
0.2013
Root mean prior squared error
0.4875
Root mean squared error
0.2136
Root relative squared error
0.4382
SciMark benchmark
919.8064