Run
2007588

Run 2007588

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)_k23
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
0.9392
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8977
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6678
Cross-validation details (10-fold Crossvalidation)
KB relative information score
720.8122
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1752
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
0.9056
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8936
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.8936
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5955
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3834
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2793
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7285
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
827.0331
UserCPU time millis
8.88
UserCPU time millis testing
8.73
UserCPU time millis training
0.15