Run
51017

Run 51017

Task 1714 (Learning Curve) breast-w Uploaded 06-11-2014 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_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_DecisionStump(2)_I10
weka.Bagging_DecisionStump(2)_P100
weka.Bagging_DecisionStump(2)_S1
weka.Bagging_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.Bagging_DecisionStump(2)_num-slots1

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
0.9681 ± 0.02
Per class
Build CPU time
0.0028
Build memory
1922079186.3
F measure
0.9319 ± 0.0281
Per class
Kappa
0.8509 ± 0.0612
KB relative information score
0.7226 ± 0.0393
Mean absolute error
0.139 ± 0.0166
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
0.9341 ± 0.0266
Per class
Predictive accuracy
0.9313 ± 0.0285
Prior entropy
0.9293 ± 0.0043
Recall
0.9313 ± 0.0285
Per class
Relative absolute error
0.3076 ± 0.0363
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.2342 ± 0.0359
Root relative squared error
0.4927 ± 0.0755
SciMark benchmark
1367.6268