Run
66377

Run 66377

Task 257 (Supervised Classification) colic Uploaded 30-11-2014 by Joaquin Vanschoren
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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
0.8222
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.076
Cross-validation details (33% Holdout set)
Build memory
49471904
Cross-validation details (33% Holdout set)
F measure
0.8013
Per class
Cross-validation details (33% Holdout set)
Kappa
0.5988
Cross-validation details (33% Holdout set)
KB relative information score
69.9033
Cross-validation details (33% Holdout set)
Mean absolute error
0.2285
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4882
Cross-validation details (33% Holdout set)
Number of instances
121
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8014
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8017
Cross-validation details (33% Holdout set)
Prior entropy
0.9509
Cross-validation details (33% Holdout set)
Recall
0.8017
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.468
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.505
Cross-validation details (33% Holdout set)
Root mean squared error
0.4289
Cross-validation details (33% Holdout set)
Root relative squared error
0.8493
Cross-validation details (33% Holdout set)
SciMark benchmark
942.5344