Run
52183

Run 52183

Task 1714 (Learning Curve) breast-w Uploaded 07-11-2014 by Joaquin Vanschoren
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Flow

weka.RealAdaBoost_JRip(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1
weka.RealAdaBoost_JRip(1)_P100
weka.RealAdaBoost_JRip(1)_H1.0
weka.RealAdaBoost_JRip(1)_S1
weka.RealAdaBoost_JRip(1)_I10
weka.RealAdaBoost_JRip(1)_Wweka.classifiers.rules.JRip

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
0.9835 ± 0.0156
Per class
Build CPU time
0.0448
Build memory
928989579.4
F measure
0.96 ± 0.0218
Per class
Kappa
0.9115 ± 0.0475
KB relative information score
0.9094 ± 0.0508
Mean absolute error
0.0395 ± 0.0221
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.96 ± 0.0209
Per class
Predictive accuracy
0.9599 ± 0.0221
Prior entropy
0.9293 ± 0.0043
Recall
0.9599 ± 0.0221
Per class
Relative absolute error
0.0874 ± 0.0488
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1872 ± 0.0527
Root relative squared error
0.3938 ± 0.1107
SciMark benchmark
946.7958