Run
50716

Run 50716

Task 1736 (Learning Curve) diabetes Uploaded 06-11-2014 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.REPTree(5)Weka implementation of REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.7649 ± 0.051
Per class
Build CPU time
0.0011
Build memory
1041101685.7
F measure
0.7283 ± 0.0455
Per class
Kappa
0.3979 ± 0.0934
KB relative information score
0.2877 ± 0.0814
Mean absolute error
0.3262 ± 0.0331
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
0.7269 ± 0.0464
Per class
Predictive accuracy
0.7305 ± 0.0484
Prior entropy
0.9331 ± 0.0046
Recall
0.7305 ± 0.0484
Per class
Relative absolute error
0.7178 ± 0.0714
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.435 ± 0.0292
Root relative squared error
0.9126 ± 0.0592
SciMark benchmark
1316.1996