Run
53806

Run 53806

Task 1714 (Learning Curve) breast-w Uploaded 08-11-2014 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_J48(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.J48(3)_C0.25
weka.J48(3)_M2
weka.RealAdaBoost_J48(1)_P100
weka.RealAdaBoost_J48(1)_H1.0
weka.RealAdaBoost_J48(1)_S1
weka.RealAdaBoost_J48(1)_I10
weka.RealAdaBoost_J48(1)_Wweka.classifiers.trees.J48

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
0.9646 ± 0.0243
Per class
Build CPU time
0.0189
Build memory
2724203541.3
F measure
0.9585 ± 0.0215
Per class
Kappa
0.9081 ± 0.0473
KB relative information score
0.9038 ± 0.0503
Mean absolute error
0.0417 ± 0.0217
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9585 ± 0.021
Per class
Predictive accuracy
0.9585 ± 0.0217
Prior entropy
0.9293 ± 0.0043
Recall
0.9585 ± 0.0217
Per class
Relative absolute error
0.0924 ± 0.0482
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.2033 ± 0.054
Root relative squared error
0.4278 ± 0.1137
SciMark benchmark
1624.8488