DEVELOPMENT... OpenML
Run
47756

Run 47756

Task 80 (Learning Curve) car 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
0.9863 ± 0.0064
Per class
Build CPU time
0.0069
Build memory
775197950.4364
F measure
0.917 ± 0.0217
Per class
Kappa
0.8214 ± 0.0458
KB relative information score
0.7828 ± 0.0292
Mean absolute error
0.0622 ± 0.0069
Mean prior absolute error
0.229 ± 0.0006
Number of instances
17280
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9189 ± 0.0218
Per class
Predictive accuracy
0.9173 ± 0.0216
Prior entropy
1.2058 ± 0.0089
Recall
0.9173 ± 0.0216
Per class
Relative absolute error
0.2715 ± 0.0303
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.1701 ± 0.0146
Root relative squared error
0.5031 ± 0.0431
SciMark benchmark
1737.9306