DEVELOPMENT... OpenML
Run
130464

Run 130464

Task 43 (Supervised Classification) spambase Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I160
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.9243
Per class
Build CPU time
5.5743
Build memory
1300760793.0624
F measure
0.8603
Per class
Kappa
0.7076
KB relative information score
3204.4862
Mean absolute error
0.1426
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
0.8604
Per class
Predictive accuracy
0.8602
Prior entropy
0.9674
Recall
0.8602
Per class
Relative absolute error
0.2987
Root mean prior squared error
0.4886
Root mean squared error
0.3514
Root relative squared error
0.719
SciMark benchmark
939.0159