Run
54146

Run 54146

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.Bagging(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging(1)_P100
weka.Bagging(1)_S1
weka.Bagging(1)_num-slots1
weka.Bagging(1)_I10
weka.Bagging(1)_Wweka.classifiers.functions.SPegasos

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
0.975 ± 0.0213
Per class
Build CPU time
0.0743
Build memory
1780406405.6
F measure
0.9613 ± 0.0243
Per class
Kappa
0.9143 ± 0.0536
KB relative information score
0.9068 ± 0.0535
Mean absolute error
0.0406 ± 0.0228
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
0.9613 ± 0.0242
Per class
Predictive accuracy
0.9614 ± 0.0243
Prior entropy
0.9293 ± 0.0043
Recall
0.9614 ± 0.0243
Per class
Relative absolute error
0.0899 ± 0.0505
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1841 ± 0.0691
Root relative squared error
0.3872 ± 0.1453
SciMark benchmark
1615.5755