DEVELOPMENT... OpenML
Run
47745

Run 47745

Task 72 (Learning Curve) breast-cancer Uploaded 05-11-2014 by Jason
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  • curves weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I10
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.6372 ± 0.1071
Per class
Build CPU time
0.0038
Build memory
1449781034.3333
F measure
0.6454 ± 0.0798
Per class
Kappa
0.1134 ± 0.1918
KB relative information score
0.0628 ± 0.0969
Mean absolute error
0.3793 ± 0.0318
Mean prior absolute error
0.4183 ± 0.0065
Number of instances
2860
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6462 ± 0.1226
Per class
Predictive accuracy
0.693 ± 0.0696
Prior entropy
0.8779 ± 0.0199
Recall
0.693 ± 0.0696
Per class
Relative absolute error
0.9067 ± 0.0737
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.4523 ± 0.0325
Root relative squared error
0.9897 ± 0.0687
SciMark benchmark
1747.5082