DEVELOPMENT... OpenML
Run
47801

Run 47801

Task 115 (Learning Curve) vowel 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
0.9879 ± 0.0057
Per class
Build CPU time
0.0229
Build memory
2225454692.8267
F measure
0.8631 ± 0.0398
Per class
Kappa
0.8502 ± 0.0425
KB relative information score
0.7297 ± 0.0198
Mean absolute error
0.0795 ± 0.0039
Mean prior absolute error
0.1653
Number of instances
9900
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.864 ± 0.035
Per class
Predictive accuracy
0.8638 ± 0.0387
Prior entropy
3.4594
Recall
0.8638 ± 0.0387
Per class
Relative absolute error
0.4813 ± 0.0234
Root mean prior squared error
0.2875
Root mean squared error
0.1695 ± 0.0077
Root relative squared error
0.5897 ± 0.0268
SciMark benchmark
1747.5082