Run
8290350

Run 8290350

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)_k23
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
0.8082
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7382
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4133
Cross-validation details (10-fold Crossvalidation)
KB relative information score
226.6763
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3232
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
0.7387
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7461
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7461
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.711
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4096
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8593
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1134.0428
UserCPU time millis
0.354
UserCPU time millis testing
0.348
UserCPU time millis training
0.006