DEVELOPMENT... OpenML
Run
47747

Run 47747

Task 62 (Learning Curve) anneal 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
0.9819 ± 0.0101
Per class
Build CPU time
0.0312
Build memory
1770676712.1956
F measure
0.9321 ± 0.0273
Per class
Kappa
0.829 ± 0.0634
KB relative information score
0.7616 ± 0.0453
Mean absolute error
0.042 ± 0.0059
Mean prior absolute error
0.1343 ± 0.0012
Number of instances
8980
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9324 ± 0.0262
Per class
Predictive accuracy
0.9336 ± 0.024
Prior entropy
1.1915 ± 0.0248
Recall
0.9336 ± 0.024
Per class
Relative absolute error
0.3127 ± 0.0438
Root mean prior squared error
0.2582 ± 0.0023
Root mean squared error
0.1307 ± 0.0164
Root relative squared error
0.506 ± 0.0635
SciMark benchmark
1729.8248