Run
8289602

Run 8289602

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)_k30
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
0.952
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9492
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4066
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1101.4991
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0539
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
0.9606
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9601
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9601
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5268
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1673
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7407
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1855.7107
UserCPU time millis
0.91
UserCPU time millis testing
0.899
UserCPU time millis training
0.011