Run
8289530

Run 8289530

Task 146012 (Supervised Classification) electricity 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)_k5
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
0.9148
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8432
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6786
Cross-validation details (10-fold Crossvalidation)
KB relative information score
28348.5047
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.186
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4886
Cross-validation details (10-fold Crossvalidation)
Number of instances
45312
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8431
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8434
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.8434
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3807
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3389
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6857
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1753.3812
UserCPU time millis
31.246
UserCPU time millis testing
31.014
UserCPU time millis training
0.232