Run
8290351

Run 8290351

Task 145976 (Supervised Classification) diabetes Uploaded 28-10-2017 by OpenML_Bot R
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Flow

mlr.classif.kknn(10)Learner mlr.classif.kknn from package(s) !kknn.
mlr.classif.kknn(10)_k6
mlr.classif.kknn(10)_openml.seed1
mlr.classif.kknn(10)_openml.kindMersenne-Twister
mlr.classif.kknn(10)_openml.normal.kindInversion

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.

21 Evaluation measures

Area under ROC curve
0.781
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7268
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3907
Cross-validation details (10-fold Crossvalidation)
KB relative information score
242.6314
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3058
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7252
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7318
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7318
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6729
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4349
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9125
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1756.2537
UserCPU time millis
0.267
UserCPU time millis testing
0.263
UserCPU time millis training
0.004