Run
225964

Run 225964

Task 1917 (Supervised Classification) diabetes Uploaded 01-03-2015 by Joaquin Vanschoren
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Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.6686
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7038
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.343
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2518.6625
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2934
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
7680
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
0.702
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7066
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7066
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6455
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.5416
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.1363
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
912.7324
UserCPU time millis
260
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
260
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)