Run
67888

Run 67888

Task 245 (Supervised Classification) breast-w 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
0.9609
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.021
Cross-validation details (33% Holdout set)
Build memory
298290176
Cross-validation details (33% Holdout set)
F measure
0.9523
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9009
Cross-validation details (33% Holdout set)
KB relative information score
216.9676
Cross-validation details (33% Holdout set)
Mean absolute error
0.0483
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.469
Cross-validation details (33% Holdout set)
Number of instances
230
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
0.9527
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9522
Cross-validation details (33% Holdout set)
Prior entropy
0.9297
Cross-validation details (33% Holdout set)
Recall
0.9522
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.1029
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.493
Cross-validation details (33% Holdout set)
Root mean squared error
0.2144
Cross-validation details (33% Holdout set)
Root relative squared error
0.435
Cross-validation details (33% Holdout set)
SciMark benchmark
937.6369