Run
8499637

Run 8499637

Task 146012 (Supervised Classification) electricity Uploaded 08-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.kknn(10)Learner mlr.classif.kknn from package(s) !kknn.
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
0.9197
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8443
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6808
Cross-validation details (10-fold Crossvalidation)
KB relative information score
27759.5198
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1945
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
0.8442
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8446
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.8446
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.398
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3331
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6738
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1852.5406
UserCPU time millis
30.217
UserCPU time millis testing
30.144
UserCPU time millis training
0.073