Run
1861172

Run 1861172

Task 9977 (Supervised Classification) nomao Uploaded 28-03-2017 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)_eta0.452229043648863
mlr.classif.xgboost(4)_max_depth13
mlr.classif.xgboost(4)_min_child_weight9.34024159852858
mlr.classif.xgboost(4)_subsample0.198863585456274
mlr.classif.xgboost(4)_colsample_bytree0.674979637609795
mlr.classif.xgboost(4)_colsample_bylevel0.467061567353085
mlr.classif.xgboost(4)_lambda133.030734357305
mlr.classif.xgboost(4)_alpha0.151677106105487
mlr.classif.xgboost(4)_nrounds785
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
0.9944
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9684
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9225
Cross-validation details (10-fold Crossvalidation)
KB relative information score
30438.5966
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.049
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4081
Cross-validation details (10-fold Crossvalidation)
Number of instances
34465
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9684
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9684
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9684
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1201
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1553
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3438
Cross-validation details (10-fold Crossvalidation)