DEVELOPMENT... OpenML
Run
47768

Run 47768

Task 96 (Learning Curve) diabetes 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
0.8168 ± 0.0518
Per class
Build CPU time
0.0104
Build memory
992303725.59
F measure
0.7545 ± 0.0506
Per class
Kappa
0.4519 ± 0.1145
KB relative information score
0.3222 ± 0.0683
Mean absolute error
0.3119 ± 0.0268
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7538 ± 0.0522
Per class
Predictive accuracy
0.7594 ± 0.0484
Prior entropy
0.9331 ± 0.0044
Recall
0.7594 ± 0.0484
Per class
Relative absolute error
0.6862 ± 0.0593
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.4049 ± 0.0304
Root relative squared error
0.8494 ± 0.064
SciMark benchmark
1771.6524