Run
8289605

Run 8289605

Task 9889 (Supervised Classification) wilt 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)_k20
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
0.9467
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.955
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4841
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1379.8657
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0491
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1022
Cross-validation details (10-fold Crossvalidation)
Number of instances
4839
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9632
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9634
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9634
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4802
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1621
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7178
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1287.4417
UserCPU time millis
0.871
UserCPU time millis testing
0.861
UserCPU time millis training
0.01