DEVELOPMENT... OpenML
Run
52286

Run 52286

Task 1736 (Learning Curve) diabetes Uploaded 07-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_OneR(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(2)_I10
weka.Bagging_OneR(2)_P100
weka.Bagging_OneR(2)_S1
weka.Bagging_OneR(2)_Wweka.classifiers.rules.OneR
weka.Bagging_OneR(2)_num-slots1
weka.OneR(3)_B6

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
0.7139 ± 0.0593
Per class
Build CPU time
0.0028
Build memory
2060039171
F measure
0.692 ± 0.0495
Per class
Kappa
0.306 ± 0.1091
KB relative information score
0.2968 ± 0.0869
Mean absolute error
0.3113 ± 0.0349
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7002 ± 0.0623
Per class
Predictive accuracy
0.7122 ± 0.0483
Prior entropy
0.9331 ± 0.0046
Recall
0.7122 ± 0.0483
Per class
Relative absolute error
0.685 ± 0.0766
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4753 ± 0.0418
Root relative squared error
0.9972 ± 0.0877
SciMark benchmark
1885.6155