Run
1860160

Run 1860160

Task 9967 (Supervised Classification) steel-plates-fault Uploaded 27-03-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.xgboost(4)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(4)_eta0.0125703863882472
mlr.classif.xgboost(4)_max_depth7
mlr.classif.xgboost(4)_min_child_weight20.5752961406418
mlr.classif.xgboost(4)_subsample0.282387121766806
mlr.classif.xgboost(4)_colsample_bytree0.763138685608283
mlr.classif.xgboost(4)_colsample_bylevel0.306979884859174
mlr.classif.xgboost(4)_lambda0.00312017895344255
mlr.classif.xgboost(4)_alpha0.00118885179470756
mlr.classif.xgboost(4)_nrounds3081
mlr.classif.xgboost(4)_verbose0
mlr.classif.xgboost(4)_openml.seed1
mlr.classif.xgboost(4)_openml.kindMersenne-Twister
mlr.classif.xgboost(4)_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.

17 Evaluation measures

Area under ROC curve
0.889
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8106
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5743
Cross-validation details (10-fold Crossvalidation)
KB relative information score
741.6216
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2925
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4531
Cross-validation details (10-fold Crossvalidation)
Number of instances
1941
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8138
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8161
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.8161
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6457
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3629
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7625
Cross-validation details (10-fold Crossvalidation)