Run
8289492

Run 8289492

Task 146066 (Supervised Classification) monks-problems-3 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)_k27
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
0.9722
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9313
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8624
Cross-validation details (10-fold Crossvalidation)
KB relative information score
255.7924
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3004
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4992
Cross-validation details (10-fold Crossvalidation)
Number of instances
554
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9321
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9314
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9989
Cross-validation details (10-fold Crossvalidation)
Recall
0.9314
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6018
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3269
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6543
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1118.8865
UserCPU time millis
0.361
UserCPU time millis testing
0.174
UserCPU time millis training
0.187