DEVELOPMENT... OpenML
Run
47782

Run 47782

Task 75 (Learning Curve) mfeat-karhunen 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
0.9881 ± 0.0039
Per class
Build CPU time
0.2505
Build memory
773982024.32
F measure
0.8809 ± 0.0235
Per class
Kappa
0.868 ± 0.0258
KB relative information score
0.8166 ± 0.0153
Mean absolute error
0.0539 ± 0.0033
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.881 ± 0.0227
Per class
Predictive accuracy
0.8812 ± 0.0232
Prior entropy
3.3219
Recall
0.8812 ± 0.0232
Per class
Relative absolute error
0.2997 ± 0.0185
Root mean prior squared error
0.3
Root mean squared error
0.1415 ± 0.0073
Root relative squared error
0.4717 ± 0.0242
SciMark benchmark
1932.1045