DEVELOPMENT... OpenML
Run
66732

Run 66732

Task 3719 (Supervised Classification) fishcatch 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
0.9948
Per class
Build CPU time
0.0045
Build memory
108720676.8101
F measure
0.9683
Per class
Kappa
0.9338
KB relative information score
142.9932
Mean absolute error
0.0471
Mean prior absolute error
0.4797
Number of instances
158
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9683
Per class
Predictive accuracy
0.9684
Prior entropy
0.971
Recall
0.9684
Per class
Relative absolute error
0.0981
Root mean prior squared error
0.4896
Root mean squared error
0.166
Root relative squared error
0.339
SciMark benchmark
929.0695