DEVELOPMENT... OpenML
Run
47735

Run 47735

Task 64 (Learning Curve) labor 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
0.9037 ± 0.1266
Per class
Build CPU time
0.0031
Build memory
647218521.68
F measure
0.8374 ± 0.1421
Per class
Kappa
0.6383 ± 0.3509
KB relative information score
0.4368 ± 0.1918
Mean absolute error
0.275 ± 0.068
Mean prior absolute error
0.457 ± 0.0208
Number of instances
570
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.8386 ± 0.1298
Per class
Predictive accuracy
0.8404 ± 0.1384
Prior entropy
0.9349 ± 0.0618
Recall
0.8404 ± 0.1384
Per class
Relative absolute error
0.6018 ± 0.1573
Root mean prior squared error
0.4773 ± 0.0219
Root mean squared error
0.3478 ± 0.0909
Root relative squared error
0.7287 ± 0.1988
SciMark benchmark
1970.0822