Run
7928913

Run 7928913

Task 146065 (Supervised Classification) monks-problems-2 Uploaded 10-09-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot24 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)_eta0.00381545432744945
mlr.classif.xgboost(9)_max_depth10
mlr.classif.xgboost(9)_min_child_weight26.4433377121556
mlr.classif.xgboost(9)_subsample0.732686258479953
mlr.classif.xgboost(9)_colsample_bytree0.509467944735661
mlr.classif.xgboost(9)_colsample_bylevel0.746472740080208
mlr.classif.xgboost(9)_lambda316.423525381737
mlr.classif.xgboost(9)_alpha0.0763947216686249
mlr.classif.xgboost(9)_nthread1
mlr.classif.xgboost(9)_nrounds2977
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
0.4977
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5213
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-14.3053
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4561
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4507
Cross-validation details (10-fold Crossvalidation)
Number of instances
601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.432
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6572
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.6572
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.012
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.475
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0008
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1331.6656
UserCPU time millis
34.919
UserCPU time millis testing
0.259
UserCPU time millis training
34.66