DEVELOPMENT... OpenML
Run
47770

Run 47770

Task 97 (Learning Curve) ecoli 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.

19 Evaluation measures

Area under ROC curve
0.9539 ± 0.0263
Per class
Build CPU time
0.0035
Build memory
3312064842.7867
Kappa
0.7666 ± 0.0851
KB relative information score
0.7158 ± 0.0681
Mean absolute error
0.062 ± 0.0102
Mean prior absolute error
0.1828 ± 0.0012
Number of instances
3360
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.8327 ± 0.0611
Prior entropy
2.1906 ± 0.0868
Recall
0.8327 ± 0.0611
Per class
Relative absolute error
0.3389 ± 0.0548
Root mean prior squared error
0.3016 ± 0.0021
Root mean squared error
0.1736 ± 0.0263
Root relative squared error
0.5757 ± 0.0857
SciMark benchmark
1729.8248