Run
6855617

Run 6855617

Task 146085 (Supervised Classification) Internet-Advertisements Uploaded 02-09-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot25 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)_eta0.00500686865001816
mlr.classif.xgboost(9)_min_child_weight31.8088771096051
mlr.classif.xgboost(9)_subsample0.843849836941808
mlr.classif.xgboost(9)_colsample_bytree0.610234208172187
mlr.classif.xgboost(9)_colsample_bylevel0.377911093644798
mlr.classif.xgboost(9)_lambda0.631078044711167
mlr.classif.xgboost(9)_alpha1.28020285153854
mlr.classif.xgboost(9)_nthread1
mlr.classif.xgboost(9)_nrounds3960
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
0.9294
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9289
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6822
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1718.763
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1146
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2409
Cross-validation details (10-fold Crossvalidation)
Number of instances
3279
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9349
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9353
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.9353
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4755
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.224
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6455
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1304.0707
UserCPU time millis
9379.736
UserCPU time millis testing
3.579
UserCPU time millis training
9376.157