OpenML
6332077

Run 6332077

Task 9977 (Supervised Classification) nomao Uploaded 28-08-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot12 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)_boostergblinear
mlr.classif.xgboost(9)_eta0.490738470399248
mlr.classif.xgboost(9)_subsample0.36332771028392
mlr.classif.xgboost(9)_lambda586.65509596934
mlr.classif.xgboost(9)_alpha0.222445751331716
mlr.classif.xgboost(9)_nthread1
mlr.classif.xgboost(9)_nrounds3439
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
0.9791
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9332
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8354
Cross-validation details (10-fold Crossvalidation)
KB relative information score
23290.9514
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1426
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
0.9331
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9336
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9336
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3494
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2335
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.517
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1319.8592
UserCPU time millis
9178.07
UserCPU time millis testing
0.843
UserCPU time millis training
9177.227