OpenML
6359413

Run 6359413

Task 7295 (Supervised Classification) Click_prediction_small Uploaded 29-08-2017 by OpenML_Bot R
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Flow

mlr.classif.xgboost(9)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(9)_eta0.0805533516382842
mlr.classif.xgboost(9)_max_depth9
mlr.classif.xgboost(9)_min_child_weight44.431763628194
mlr.classif.xgboost(9)_subsample0.955111759644933
mlr.classif.xgboost(9)_colsample_bytree0.699715812690556
mlr.classif.xgboost(9)_colsample_bylevel0.819633776787668
mlr.classif.xgboost(9)_lambda0.00679547435772493
mlr.classif.xgboost(9)_alpha26.9968674675462
mlr.classif.xgboost(9)_nthread1
mlr.classif.xgboost(9)_nrounds357
mlr.classif.xgboost(9)_verbose0
mlr.classif.xgboost(9)_openml.seed1
mlr.classif.xgboost(9)_openml.kindMersenne-Twister
mlr.classif.xgboost(9)_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.

21 Evaluation measures

Area under ROC curve
0.7129
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
15.8376
Cross-validation details (10-fold Crossvalidation)
F measure
0.7758
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0871
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-926.3961
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2542
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2801
Cross-validation details (10-fold Crossvalidation)
Number of instances
39948
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8046
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.836
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6541
Cross-validation details (10-fold Crossvalidation)
Recall
0.836
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9075
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3742
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3564
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9522
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1261.5255
Total cost
632680
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
587.551
UserCPU time millis testing
6.313
UserCPU time millis training
581.238