DEVELOPMENT... OpenML
Run
47757

Run 47757

Task 82 (Learning Curve) cmc 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
0.7113 ± 0.0299
Per class
Build CPU time
0.0135
Build memory
1714623407.256
F measure
0.534 ± 0.0363
Per class
Kappa
0.2759 ± 0.0565
KB relative information score
0.2361 ± 0.0263
Mean absolute error
0.3592 ± 0.0107
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
14730
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.5341 ± 0.0364
Per class
Predictive accuracy
0.5364 ± 0.0361
Prior entropy
1.539 ± 0.0028
Recall
0.5364 ± 0.0361
Per class
Relative absolute error
0.8338 ± 0.0248
Root mean prior squared error
0.4641 ± 0.0004
Root mean squared error
0.4358 ± 0.011
Root relative squared error
0.9391 ± 0.0237
SciMark benchmark
1655.4655