OpenML
6357900

Run 6357900

Task 146064 (Supervised Classification) monks-problems-1 Uploaded 29-08-2017 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)_eta0.0579402628418039
mlr.classif.xgboost(9)_max_depth11
mlr.classif.xgboost(9)_min_child_weight9.18325246432508
mlr.classif.xgboost(9)_subsample0.282453104527667
mlr.classif.xgboost(9)_colsample_bytree0.724694375414401
mlr.classif.xgboost(9)_colsample_bylevel0.345533482497558
mlr.classif.xgboost(9)_lambda126.429208645877
mlr.classif.xgboost(9)_alpha1.53080937119139
mlr.classif.xgboost(9)_nthread1
mlr.classif.xgboost(9)_nrounds2518
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
0.7324
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7199
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4676
Cross-validation details (10-fold Crossvalidation)
KB relative information score
95.945
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4293
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
556
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7919
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7338
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.7338
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8587
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4435
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8869
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1301.2788
UserCPU time millis
27.609
UserCPU time millis testing
0.286
UserCPU time millis training
27.323