Run
2039947

Run 2039947

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 11-04-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.kknn(12)Learner mlr.classif.kknn from package(s) !kknn.
mlr.classif.kknn(12)_k30
mlr.classif.kknn(12)_openml.seed1
mlr.classif.kknn(12)_openml.kindMersenne-Twister
mlr.classif.kknn(12)_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
0.9358
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8519
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7002
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8046.3202
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2445
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
0.8522
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8523
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8523
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4942
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3265
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6565
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1195.6574
UserCPU time millis
5.65
UserCPU time millis testing
5.49
UserCPU time millis training
0.16