Run
54561

Run 54561

Task 1714 (Learning Curve) breast-w Uploaded 09-11-2014 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.AdaBoostM1_BFTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_BFTree(2)_I10
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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
0.9794 ± 0.0226
Per class
Build CPU time
0.0479
Build memory
2684979289.2
F measure
0.9544 ± 0.0332
Per class
Kappa
0.8993 ± 0.0729
KB relative information score
0.9001 ± 0.0681
Mean absolute error
0.0428 ± 0.0288
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
0.9546 ± 0.0327
Per class
Predictive accuracy
0.9542 ± 0.0335
Prior entropy
0.9293 ± 0.0043
Recall
0.9542 ± 0.0335
Per class
Relative absolute error
0.0948 ± 0.0638
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1988 ± 0.0926
Root relative squared error
0.4183 ± 0.1946
SciMark benchmark
1853.1129