Run
54154

Run 54154

Task 1736 (Learning Curve) diabetes Uploaded 08-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging(1)_P100
weka.Bagging(1)_S1
weka.Bagging(1)_num-slots1
weka.Bagging(1)_I10
weka.Bagging(1)_Wweka.classifiers.functions.SPegasos

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
0.7582 ± 0.0459
Per class
Build CPU time
0.082
Build memory
1211393369.2
F measure
0.7694 ± 0.0476
Per class
Kappa
0.4811 ± 0.1078
KB relative information score
0.4767 ± 0.0882
Mean absolute error
0.2297 ± 0.0381
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7772 ± 0.0465
Per class
Predictive accuracy
0.7799 ± 0.0426
Prior entropy
0.9331 ± 0.0046
Recall
0.7799 ± 0.0426
Per class
Relative absolute error
0.5054 ± 0.0835
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4511 ± 0.0427
Root relative squared error
0.9464 ± 0.089
SciMark benchmark
1615.5755