DEVELOPMENT... OpenML
Run
47798

Run 47798

Task 79 (Learning Curve) mfeat-pixel 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
0.9747 ± 0.0079
Per class
Build CPU time
0.3138
Build memory
1021824955.1055
F measure
0.8458 ± 0.0279
Per class
Kappa
0.8287 ± 0.0314
KB relative information score
0.77 ± 0.0196
Mean absolute error
0.0632 ± 0.0039
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
0.8461 ± 0.0271
Per class
Predictive accuracy
0.8459 ± 0.0282
Prior entropy
3.3219
Recall
0.8459 ± 0.0282
Per class
Relative absolute error
0.3513 ± 0.0218
Root mean prior squared error
0.3
Root mean squared error
0.1593 ± 0.0082
Root relative squared error
0.5311 ± 0.0273
SciMark benchmark
1970.0822