Run
499027

Run 499027

Task 1736 (Learning Curve) diabetes Uploaded 06-12-2015 by Joaquin Vanschoren
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Flow

weka.RandomTree(11)Weka implementation of RandomTree
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_S1
weka.RandomTree(11)_num-decimal-places4

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.

22 Evaluation measures

Area under ROC curve
0.6762 ± 0.0624
Per class
F measure
0.7003 ± 0.062
Per class
Kappa
0.3465 ± 0.1271
KB relative information score
236.526 ± 11.076
Mean absolute error
0.3021 ± 0.0641
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.7036 ± 0.0583
Per class
Predictive accuracy
0.6979 ± 0.0641
Prior entropy
0.9335
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
862.7527