DEVELOPMENT... OpenML
Run
804

Run 804

Task 96 (Learning Curve) diabetes Uploaded 08-04-2014 by Mandy
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Flow

weka.IBk(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.6663 ± 0.058
Per class
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_15, amd64, Linux, 3.5.0-27-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
889.4897