DEVELOPMENT... OpenML
Run
58512

Run 58512

Task 37 (Supervised Classification) diabetes Uploaded 15-11-2014 by Felicia West
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Flow

weka.Bagging_LMT(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(2)_I20
weka.Bagging_LMT(2)_P100
weka.Bagging_LMT(2)_S1
weka.Bagging_LMT(2)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(2)_num-slots1
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.832
Per class
Build CPU time
9.7602
Build memory
158182166.6979
F measure
0.7514
Per class
Kappa
0.4484
KB relative information score
271.6557
Mean absolute error
0.2957
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.7501
Per class
Predictive accuracy
0.7539
Prior entropy
0.9335
Recall
0.7539
Per class
Relative absolute error
0.6506
Root mean prior squared error
0.4766
Root mean squared error
0.3986
Root relative squared error
0.8362
SciMark benchmark
1212.2248