Run
52242

Run 52242

Task 1714 (Learning Curve) breast-w Uploaded 07-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.9742 ± 0.0196
Per class
Build CPU time
0.0048
Build memory
772700341.8
F measure
0.9629 ± 0.0253
Per class
Kappa
0.918 ± 0.0555
KB relative information score
0.9151 ± 0.0563
Mean absolute error
0.0367 ± 0.0243
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.963 ± 0.0248
Per class
Predictive accuracy
0.9628 ± 0.0254
Prior entropy
0.9293 ± 0.0043
Recall
0.9628 ± 0.0254
Per class
Relative absolute error
0.0812 ± 0.0536
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1873 ± 0.0786
Root relative squared error
0.3941 ± 0.1652
SciMark benchmark
1853.1129