DEVELOPMENT... OpenML
Run
47774

Run 47774

Task 99 (Learning Curve) glass 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
0.8966 ± 0.0521
Per class
Build CPU time
0.0053
Build memory
2655327922.08
F measure
0.7105 ± 0.0909
Per class
Kappa
0.6189 ± 0.1371
KB relative information score
0.5762 ± 0.0685
Mean absolute error
0.1182 ± 0.0147
Mean prior absolute error
0.2116 ± 0.0025
Number of instances
2140
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7147 ± 0.0914
Per class
Predictive accuracy
0.7252 ± 0.0991
Prior entropy
2.1835 ± 0.0748
Recall
0.7252 ± 0.0991
Per class
Relative absolute error
0.5588 ± 0.0683
Root mean prior squared error
0.3244 ± 0.0039
Root mean squared error
0.2372 ± 0.0274
Root relative squared error
0.7311 ± 0.0829
SciMark benchmark
1747.5082