Run
8499624

Run 8499624

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)_k1
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
0.8503
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.852
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7009
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10480.1877
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1479
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
0.852
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8521
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8521
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.299
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3846
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7733
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1836.0792
UserCPU time millis
4.476
UserCPU time millis testing
4.453
UserCPU time millis training
0.023