Run
8289867

Run 8289867

Task 145972 (Supervised Classification) credit-g 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)_k17
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
0.7481
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7214
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3082
Cross-validation details (10-fold Crossvalidation)
KB relative information score
206.2959
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3276
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7332
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.749
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.749
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7797
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4211
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9189
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1257.4597
UserCPU time millis
0.653
UserCPU time millis testing
0.639
UserCPU time millis training
0.014