Run
66780

Run 66780

Task 3740 (Supervised Classification) fri_c1_100_50 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
0.5909
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0341
Cross-validation details (10-fold Crossvalidation)
Build memory
119620253.6
Cross-validation details (10-fold Crossvalidation)
F measure
0.5753
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1351
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11.6641
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4335
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4929
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5748
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.58
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.99
Cross-validation details (10-fold Crossvalidation)
Recall
0.58
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8793
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.591
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1905
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
922.0796