Run
504130

Run 504130

Task 1736 (Learning Curve) diabetes Uploaded 30-12-2015 by Joaquin Vanschoren
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Flow

weka.IBk(7)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(7)_K5
weka.IBk(7)_W0
weka.IBk(7)_Atrue

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
0.7776 ± 0.0468
Per class
F measure
0.7374 ± 0.0389
Per class
Kappa
0.4161 ± 0.0851
KB relative information score
235.9901 ± 4.627
Mean absolute error
0.3113 ± 0.0245
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7359 ± 0.0414
Per class
Predictive accuracy
0.7409 ± 0.0397
Prior entropy
0.9335
Recall
0.7409 ± 0.0397
Per class
Relative absolute error
0.685 ± 0.0538
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4255 ± 0.0292
Root relative squared error
0.8927 ± 0.0604
SciMark benchmark
945.1219
UserCPU time millis
120
UserCPU time millis testing
120