DEVELOPMENT... OpenML
Run
8299

Run 8299

Task 43 (Supervised Classification) spambase Uploaded 22-05-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(1)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(1)_I20
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9645
Per class
F measure
0.911
Per class
Kappa
0.8131
KB relative information score
3369.3899
Mean absolute error
0.1357
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
0.9111
Per class
Predictive accuracy
0.9113
Prior entropy
0.9674
Recall
0.9113
Per class
Relative absolute error
0.2841
Root mean prior squared error
0.4886
Root mean squared error
0.2614
Root relative squared error
0.535
SciMark benchmark
947.5549[566.86405431965431015.2555353338006483.0147548568529911.48812543402991761.152276377127]