Run
54992

Run 54992

Task 1736 (Learning Curve) diabetes Uploaded 10-11-2014 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.RandomTree(2)Weka implementation of RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_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
0.6762 ± 0.0624
Per class
Build CPU time
0.0014
Build memory
165189403.6
F measure
0.7003 ± 0.062
Per class
Kappa
0.3465 ± 0.1271
KB relative information score
0.3081 ± 0.1449
Mean absolute error
0.3021 ± 0.0641
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
0.7036 ± 0.0583
Per class
Predictive accuracy
0.6979 ± 0.0641
Prior entropy
0.9331 ± 0.0046
Recall
0.6979 ± 0.0641
Per class
Relative absolute error
0.6647 ± 0.1398
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.5496 ± 0.0588
Root relative squared error
1.1531 ± 0.1212
SciMark benchmark
1606.2579