DEVELOPMENT... OpenML
Run
57344

Run 57344

Task 37 (Supervised Classification) diabetes Uploaded 13-11-2014 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)_I40
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
0.8351
Per class
Build CPU time
11.7798
Build memory
88531679.3542
F measure
0.7638
Per class
Kappa
0.4748
KB relative information score
270.6885
Mean absolute error
0.2971
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7627
Per class
Predictive accuracy
0.7669
Prior entropy
0.9335
Recall
0.7669
Per class
Relative absolute error
0.6538
Root mean prior squared error
0.4766
Root mean squared error
0.3964
Root relative squared error
0.8317
SciMark benchmark
938.259