Question

Question 1)
Model selection is a process that can be
applied (0)
across different types
of models (0)
across models of
the same type configured with different
model hyperparameters​

Answer 1

Answer:

Model selection is a process that can be applied both across different types of models (e.g. logistic regression, SVM, KNN, etc.) and across models of the same type configured with different model hyperparameters (e.g. different kernels in an SVM). ... Model selection is different from model assessment.

Answer 2

Answer:

Model selection is the process of selecting one final machine learning model from among a collection of candidate machine learning models for a training dataset. ... Model selection is the process of choosing one of the models as the final model that addresses the problem