Expert
Which of these statements are/is true regarding the “loss function”?
Author: MartinStatus: PublishedQuestion passed 265 times
Edit
0
Community Evaluations
El Mehdi
14/11/2024
C'est faux. On cherche aussi à maximiser la fonction de perte, c'est dans le cas de la fonction de vraisemblance. Donc pendant le développement du modèle, on cherche à minimiser ou maximiser la fonction. De plus, elle est définie par le développeur, une fonction de coût pour la régression n'est pas pareille que celle de la classification dans un cas simple.
Similar QuestionsMore questions about Machine Learning
13
How to handle missing data in a given training data set ?8
How to handle missing data in a given training data set ?6
The validation set is used to provide frequent and unbiased evaluations of the model’s fit on the training set while tuning its hyperparameters/parameters: in other words,the model is found and then tested on the validation set before to be improved once again.6
What is the missing word in the following sentence: Overfitting is the production of a model that corresponds too closely to the training data set and may therefore fail to fit other data sets and so fail to perform any reliable forecast.4
Clustering is an unsupervised machine learning process which aims at automatically discovering natural grouping in the input data. When using this method, the developer is able to choose the number of groups he wants to create.