DEVELOPMENT... OpenML
Run
66602

Run 66602

Task 29 (Supervised Classification) credit-approval 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
0.896
Per class
Build CPU time
0.0097
Build memory
133679794.4
F measure
0.7688
Per class
Kappa
0.534
KB relative information score
376.2963
Mean absolute error
0.2236
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.793
Per class
Predictive accuracy
0.7768
Prior entropy
0.9913
Recall
0.7768
Per class
Relative absolute error
0.4526
Root mean prior squared error
0.497
Root mean squared error
0.4347
Root relative squared error
0.8747
SciMark benchmark
939.2194