DEVELOPMENT... OpenML
Run
66690

Run 66690

Task 43 (Supervised Classification) spambase Uploaded 30-11-2014 by Felicia West
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Flow

weka.RealAdaBoost_NaiveBayes(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RealAdaBoost_NaiveBayes(1)_P100
weka.RealAdaBoost_NaiveBayes(1)_H1.0
weka.RealAdaBoost_NaiveBayes(1)_S1
weka.RealAdaBoost_NaiveBayes(1)_I10
weka.RealAdaBoost_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

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
0.8467
Per class
Build CPU time
0.6485
Build memory
112010584.6833
F measure
0.7904
Per class
Kappa
0.5796
KB relative information score
2302.2672
Mean absolute error
0.2369
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
0.8175
Per class
Predictive accuracy
0.7881
Prior entropy
0.9674
Recall
0.7881
Per class
Relative absolute error
0.4962
Root mean prior squared error
0.4886
Root mean squared error
0.4547
Root relative squared error
0.9306
SciMark benchmark
929.8459