DEVELOPMENT... OpenML
Run
47775

Run 47775

Task 98 (Learning Curve) sonar 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
0.8599 ± 0.088
Per class
Build CPU time
0.0227
Build memory
1073671054.304
F measure
0.7653 ± 0.105
Per class
Kappa
0.5279 ± 0.2094
KB relative information score
0.3676 ± 0.1056
Mean absolute error
0.3313 ± 0.0468
Mean prior absolute error
0.4978 ± 0.0015
Number of instances
2080
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7658 ± 0.1067
Per class
Predictive accuracy
0.7659 ± 0.1038
Prior entropy
0.9967 ± 0.0043
Recall
0.7659 ± 0.1038
Per class
Relative absolute error
0.6657 ± 0.094
Root mean prior squared error
0.4989 ± 0.0015
Root mean squared error
0.3929 ± 0.0519
Root relative squared error
0.7875 ± 0.104
SciMark benchmark
1771.6524