OpenML
4371586

Run 4371586

Task 9952 (Supervised Classification) phoneme Uploaded 05-07-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot10 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)_eta0.015450216254898
mlr.classif.xgboost(9)_max_depth10
mlr.classif.xgboost(9)_min_child_weight34.3989772207838
mlr.classif.xgboost(9)_subsample0.494523246493191
mlr.classif.xgboost(9)_colsample_bytree0.964054732583463
mlr.classif.xgboost(9)_colsample_bylevel0.380847206572071
mlr.classif.xgboost(9)_lambda0.0516468956163849
mlr.classif.xgboost(9)_alpha268.033142169681
mlr.classif.xgboost(9)_nthread1
mlr.classif.xgboost(9)_nrounds403
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
0.8391
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.585
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-130.6273
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4174
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4147
Cross-validation details (10-fold Crossvalidation)
Number of instances
5404
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4992
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7065
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.7065
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0065
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4331
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9511
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1317.8319
UserCPU time millis
20.953
UserCPU time millis testing
0.268
UserCPU time millis training
20.685