Run
7105657

Run 7105657

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 04-09-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot14 botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.xgboost(9)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(9)_eta0.113858729634782
mlr.classif.xgboost(9)_max_depth5
mlr.classif.xgboost(9)_min_child_weight7.74415107899476
mlr.classif.xgboost(9)_subsample0.308487205673009
mlr.classif.xgboost(9)_colsample_bytree0.9746173187159
mlr.classif.xgboost(9)_colsample_bylevel0.32051433227025
mlr.classif.xgboost(9)_lambda0.0473465537005032
mlr.classif.xgboost(9)_alpha656.174276312663
mlr.classif.xgboost(9)_nthread1
mlr.classif.xgboost(9)_nrounds3904
mlr.classif.xgboost(9)_verbose0
mlr.classif.xgboost(9)_openml.seed1
mlr.classif.xgboost(9)_openml.kindMersenne-Twister
mlr.classif.xgboost(9)_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
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3917
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-240.8812
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5
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
0.3038
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5512
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.5512
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0106
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0053
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1258.1974
UserCPU time millis
618.721
UserCPU time millis testing
6.11
UserCPU time millis training
612.611