DEVELOPMENT... OpenML
Run
47779

Run 47779

Task 95 (Learning Curve) segment 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
0.9974 ± 0.0018
Per class
Build CPU time
0.0543
Build memory
848533951.1933
F measure
0.9659 ± 0.012
Per class
Kappa
0.9603 ± 0.014
KB relative information score
0.9511 ± 0.0099
Mean absolute error
0.0186 ± 0.003
Mean prior absolute error
0.2449
Number of instances
23100
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.966 ± 0.0115
Per class
Predictive accuracy
0.9659 ± 0.012
Prior entropy
2.8074
Recall
0.9659 ± 0.012
Per class
Relative absolute error
0.0758 ± 0.0124
Root mean prior squared error
0.3499
Root mean squared error
0.0871 ± 0.0111
Root relative squared error
0.2491 ± 0.0317
SciMark benchmark
1794.5417