Run
67794

Run 67794

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 30-11-2014 by Joaquin Vanschoren
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Flow

weka.RealAdaBoost_RandomTree(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.RealAdaBoost_RandomTree(1)_P100
weka.RealAdaBoost_RandomTree(1)_H1.0
weka.RealAdaBoost_RandomTree(1)_S1
weka.RealAdaBoost_RandomTree(1)_I10
weka.RealAdaBoost_RandomTree(1)_Wweka.classifiers.trees.RandomTree

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
0.6517
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0185
Cross-validation details (10-fold Crossvalidation)
Build memory
592626474.0036
Cross-validation details (10-fold Crossvalidation)
F measure
0.8318
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3144
Cross-validation details (10-fold Crossvalidation)
KB relative information score
78.2717
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1692
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
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
0.8318
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8318
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.8318
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6873
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4103
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1715
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
905.0866