DEVELOPMENT... OpenML
Run
47812

Run 47812

Task 1713 (Learning Curve) mfeat-fourier Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 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
0.9719 ± 0.0046
Per class
Build CPU time
0.3173
Build memory
738311435.7818
F measure
0.7982 ± 0.0187
Per class
Kappa
0.7767 ± 0.0212
KB relative information score
0.7856 ± 0.0133
Mean absolute error
0.0594 ± 0.0024
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7993 ± 0.0192
Per class
Predictive accuracy
0.799 ± 0.0191
Prior entropy
3.3219
Recall
0.799 ± 0.0191
Per class
Relative absolute error
0.33 ± 0.0133
Root mean prior squared error
0.3
Root mean squared error
0.1669 ± 0.0064
Root relative squared error
0.5564 ± 0.0213
SciMark benchmark
1970.0822