DEVELOPMENT... OpenML
Run
57598

Run 57598

Task 3656 (Supervised Classification) diabetes_numeric 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
0.7059
Per class
Build CPU time
0.3465
Build memory
442173433.4884
F measure
0.6913
Per class
Kappa
0.3477
KB relative information score
6.9819
Mean absolute error
0.4101
Mean prior absolute error
0.4791
Number of instances
43
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.692
Per class
Predictive accuracy
0.6977
Prior entropy
0.971
Recall
0.6977
Per class
Relative absolute error
0.856
Root mean prior squared error
0.4889
Root mean squared error
0.4602
Root relative squared error
0.9413
SciMark benchmark
943.4191