Run
7141505

Run 7141505

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)_eta0.148516637152987
mlr.classif.xgboost(9)_max_depth14
mlr.classif.xgboost(9)_min_child_weight112.650302588312
mlr.classif.xgboost(9)_subsample0.286289002676494
mlr.classif.xgboost(9)_colsample_bytree0.629917854676023
mlr.classif.xgboost(9)_colsample_bylevel0.929137964965776
mlr.classif.xgboost(9)_lambda0.0042299595342719
mlr.classif.xgboost(9)_alpha13.8670462684465
mlr.classif.xgboost(9)_nthread1
mlr.classif.xgboost(9)_nrounds33
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
0.7954
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7239
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4406
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3243.8047
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4036
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
0.7248
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7256
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7256
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8157
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4341
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8728
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1293.3434
UserCPU time millis
14.21
UserCPU time millis testing
0.192
UserCPU time millis training
14.018