DEVELOPMENT... OpenML
Run
109029

Run 109029

Task 43 (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
0.9771
Per class
Build CPU time
3.0816
Build memory
87423517.1328
F measure
0.9306
Per class
Kappa
0.8543
KB relative information score
3640.7959
Mean absolute error
0.1063
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
0.9308
Per class
Predictive accuracy
0.9309
Prior entropy
0.9674
Recall
0.9309
Per class
Relative absolute error
0.2225
Root mean prior squared error
0.4886
Root mean squared error
0.23
Root relative squared error
0.4706
SciMark benchmark
934.2858