Run
1860212

Run 1860212

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)_eta0.194768974250799
mlr.classif.xgboost(4)_max_depth7
mlr.classif.xgboost(4)_min_child_weight12.8487779052355
mlr.classif.xgboost(4)_subsample0.515067237941548
mlr.classif.xgboost(4)_colsample_bytree0.86580569553189
mlr.classif.xgboost(4)_colsample_bylevel0.547854490811005
mlr.classif.xgboost(4)_lambda0.00254658115042818
mlr.classif.xgboost(4)_alpha1.12724860941481
mlr.classif.xgboost(4)_nrounds3476
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
0.9842
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9404
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8678
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1467.8089
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1214
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
0.9406
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9408
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9408
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.268
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2186
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4594
Cross-validation details (10-fold Crossvalidation)