Run
2007649

Run 2007649

Task 3485 (Supervised Classification) scene Uploaded 06-04-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.kknn(11)Learner mlr.classif.kknn from package(s) !kknn.
mlr.classif.kknn(11)_k9
mlr.classif.kknn(11)_openml.seed1
mlr.classif.kknn(11)_openml.kindMersenne-Twister
mlr.classif.kknn(11)_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
0.9291
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8874
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6361
Cross-validation details (10-fold Crossvalidation)
KB relative information score
850.6422
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1578
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2942
Cross-validation details (10-fold Crossvalidation)
Number of instances
2407
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8968
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8824
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.8824
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5365
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3834
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.289
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7538
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
865.2726
UserCPU time millis
8.73
UserCPU time millis testing
8.57
UserCPU time millis training
0.16