OpenML
6372373

Run 6372373

Task 145854 (Supervised Classification) nomao Uploaded 29-08-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot20 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)_eta0.0291049802695665
mlr.classif.xgboost(9)_max_depth4
mlr.classif.xgboost(9)_min_child_weight94.95971359392
mlr.classif.xgboost(9)_subsample0.587503822427243
mlr.classif.xgboost(9)_colsample_bytree0.234000627184287
mlr.classif.xgboost(9)_colsample_bylevel0.840142742497846
mlr.classif.xgboost(9)_lambda680.009035593084
mlr.classif.xgboost(9)_alpha0.00185746979585513
mlr.classif.xgboost(9)_nthread1
mlr.classif.xgboost(9)_nrounds802
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
0.9874
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9463
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8677
Cross-validation details (10-fold Crossvalidation)
KB relative information score
27363.8671
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0889
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4081
Cross-validation details (10-fold Crossvalidation)
Number of instances
34465
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9462
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9465
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9465
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2178
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1962
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4344
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1310.8315
UserCPU time millis
2701.918
UserCPU time millis testing
8.454
UserCPU time millis training
2693.464