Run
8499841

Run 8499841

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)_k29
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
0.9362
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8533
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7031
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8091.5598
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2429
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
0.8536
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8537
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.8537
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4909
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3258
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.655
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1853.5297
UserCPU time millis
5.918
UserCPU time millis testing
5.891
UserCPU time millis training
0.027