Run
1867581

Run 1867581

Task 3918 (Supervised Classification) pc1 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)_eta0.810479733158746
mlr.classif.xgboost(4)_max_depth11
mlr.classif.xgboost(4)_min_child_weight3.515067364685
mlr.classif.xgboost(4)_subsample0.805712215858512
mlr.classif.xgboost(4)_colsample_bytree0.445455712731928
mlr.classif.xgboost(4)_colsample_bylevel0.987064714310691
mlr.classif.xgboost(4)_lambda748.748184216648
mlr.classif.xgboost(4)_alpha0.0259684120586582
mlr.classif.xgboost(4)_nrounds4503
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
0.8512
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9196
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3124
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3.8029
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.091
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1299
Cross-validation details (10-fold Crossvalidation)
Number of instances
1109
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9148
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9288
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3667
Cross-validation details (10-fold Crossvalidation)
Recall
0.9288
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7004
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2542
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.237
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9326
Cross-validation details (10-fold Crossvalidation)