Run
25062

Run 25062

Task 96 (Learning Curve) diabetes Uploaded 16-08-2014 by Jan van Rijn
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Flow

weka.IBk(2)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.6663 ± 0.058
Per class
Build CPU time
0.0001
Build memory
3110171572.1
F measure
0.7015 ± 0.0518
Per class
Kappa
0.3374 ± 0.1167
KB relative information score
0.3227 ± 0.1161
Mean absolute error
0.2959 ± 0.0505
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.6996 ± 0.0537
Per class
Predictive accuracy
0.7047 ± 0.0506
Prior entropy
0.9331 ± 0.0044
Recall
0.7047 ± 0.0506
Per class
Relative absolute error
0.6511 ± 0.1113
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.5426 ± 0.0467
Root relative squared error
1.1385 ± 0.0983
SciMark benchmark
1143.0868[689.4231856618796994.8141311039286529.4584938435862969.82618003399952531.9118093620946]