Run
1861170

Run 1861170

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)_eta0.217423231332053
mlr.classif.xgboost(4)_max_depth11
mlr.classif.xgboost(4)_min_child_weight38.8310890746646
mlr.classif.xgboost(4)_subsample0.872810395131819
mlr.classif.xgboost(4)_colsample_bytree0.0953034639824182
mlr.classif.xgboost(4)_colsample_bylevel0.326033041579649
mlr.classif.xgboost(4)_lambda0.0253948439776811
mlr.classif.xgboost(4)_alpha174.893720586348
mlr.classif.xgboost(4)_nrounds3887
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
0.9857
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.943
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8595
Cross-validation details (10-fold Crossvalidation)
KB relative information score
26243.0416
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1037
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
0.943
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9434
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9434
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2541
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2055
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4549
Cross-validation details (10-fold Crossvalidation)