Run
8499759

Run 8499759

Task 14951 (Supervised Classification) eeg-eye-state 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)_k11
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
0.9412
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8636
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7241
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9219.0933
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2006
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8637
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8638
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8638
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4055
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3115
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6264
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1788.1153
UserCPU time millis
6.236
UserCPU time millis testing
5.668
UserCPU time millis training
0.568