Run
8289385

Run 8289385

Task 145854 (Supervised Classification) nomao 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)_k26
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
0.9887
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9537
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8864
Cross-validation details (10-fold Crossvalidation)
KB relative information score
28634.2626
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0701
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4081
Cross-validation details (10-fold Crossvalidation)
Number of instances
34465
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9536
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9537
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9537
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1717
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1843
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4081
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1086.8847
UserCPU time millis
574.192
UserCPU time millis testing
573.342
UserCPU time millis training
0.85