Run
1861183

Run 1861183

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)_eta0.0953036465887565
mlr.classif.xgboost(4)_max_depth14
mlr.classif.xgboost(4)_min_child_weight6.92367530537067
mlr.classif.xgboost(4)_subsample0.360532342013903
mlr.classif.xgboost(4)_colsample_bytree0.836437421152368
mlr.classif.xgboost(4)_colsample_bylevel0.989332034951076
mlr.classif.xgboost(4)_lambda33.5139823627568
mlr.classif.xgboost(4)_alpha128.418396929882
mlr.classif.xgboost(4)_nrounds3182
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
0.9866
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9472
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8695
Cross-validation details (10-fold Crossvalidation)
KB relative information score
26391.5305
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1042
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
0.9473
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9476
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9476
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2553
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2014
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4459
Cross-validation details (10-fold Crossvalidation)