Run
47071

Run 47071

Task 1714 (Learning Curve) breast-w Uploaded 05-11-2014 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_Logistic(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.Logistic(2)_M-1
weka.Logistic(2)_R1.0E-8
weka.RealAdaBoost_Logistic(1)_P100
weka.RealAdaBoost_Logistic(1)_H1.0
weka.RealAdaBoost_Logistic(1)_S1
weka.RealAdaBoost_Logistic(1)_I10
weka.RealAdaBoost_Logistic(1)_Wweka.classifiers.functions.Logistic

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
0.9922 ± 0.0066
Per class
Build CPU time
0.0325
Build memory
93163641.3
F measure
0.9612 ± 0.0235
Per class
Kappa
0.9139 ± 0.0521
KB relative information score
0.8953 ± 0.0454
Mean absolute error
0.0475 ± 0.019
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
0.9613 ± 0.0231
Per class
Predictive accuracy
0.9614 ± 0.0234
Prior entropy
0.9293 ± 0.0043
Recall
0.9614 ± 0.0234
Per class
Relative absolute error
0.1051 ± 0.0419
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1788 ± 0.0532
Root relative squared error
0.3761 ± 0.1115
SciMark benchmark
1871.2821