Run
8783385

Run 8783385

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 09-01-2018 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees4
mlr.classif.ranger(16)_mtry7
mlr.classif.ranger(16)_min.node.size3004
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.787001409707591
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.7459
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.689
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3705
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2249.6888
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4327
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
0.6888
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6897
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.6897
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8745
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4552
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9153
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1378.863
UserCPU time millis
0.547
UserCPU time millis testing
0.067
UserCPU time millis training
0.48