DEVELOPMENT... OpenML
Run
87375

Run 87375

Task 3656 (Supervised Classification) diabetes_numeric Uploaded 03-12-2014 by Felicia West
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Flow

weka.Bagging_SPegasos(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SPegasos(2)_I10
weka.Bagging_SPegasos(2)_P100
weka.Bagging_SPegasos(2)_S1
weka.Bagging_SPegasos(2)_Wweka.classifiers.functions.SPegasos
weka.Bagging_SPegasos(2)_num-slots1
weka.SPegasos(2)_E500
weka.SPegasos(2)_F0
weka.SPegasos(2)_L1.0E-4

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
0.6538
Per class
Build CPU time
0.014
Build memory
38685147.5349
F measure
0.6364
Per class
Kappa
0.2312
KB relative information score
8.9697
Mean absolute error
0.3767
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
0.6402
Per class
Predictive accuracy
0.6512
Prior entropy
0.971
Recall
0.6512
Per class
Relative absolute error
0.7864
Root mean prior squared error
0.4889
Root mean squared error
0.5171
Root relative squared error
1.0577
SciMark benchmark
942.0094