Run
203154

Run 203154

Task 4361 (Supervised Classification) diabetes_numeric Uploaded 27-02-2015 by Joaquin Vanschoren
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Flow

weka.IBk(4)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(4)_K5
weka.IBk(4)_W0
weka.IBk(4)_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
0.6416
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.6228
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.2031
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
50.6899
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4217
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4791
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
430
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6211
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.6302
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.971
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.6302
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8803
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4889
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4886
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9994
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
930.5999