Statements (28)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:machine_learning_competition
|
| gptkbp:acceptsSubmissionFormat |
gptkb:law
predictions |
| gptkbp:assesses |
AUC
RMSE balanced accuracy |
| gptkbp:edition |
gptkb:AutoML_Challenge_2015
gptkb:AutoML_Challenge_2018 gptkb:AutoML_Challenge_2022 |
| gptkbp:firstHeld |
2015
|
| gptkbp:focusesOn |
automated machine learning
|
| gptkbp:goal |
advance automated machine learning research
|
| gptkbp:memiliki_tugas |
gptkb:dictionary
regression feature engineering hyperparameter optimization |
| gptkbp:organizedBy |
gptkb:ChaLearn
|
| gptkbp:participants |
industry teams
academic teams |
| gptkbp:relatedTo |
gptkb:AutoML
gptkb:machine_learning |
| gptkbp:sponsor |
gptkb:Amazon
gptkb:Google gptkb:Microsoft |
| gptkbp:website |
https://www.automl.org/automl/challenge/
|
| gptkbp:bfsParent |
gptkb:AutoML
|
| gptkbp:bfsLayer |
7
|
| https://www.w3.org/2000/01/rdf-schema#label |
AutoML Challenge
|