Which of the following statements a), b) or c) is false?
A) You typically train a machine-learning model with a subset of a dataset.
B) Generally, you should train your model with the smallest amount of data that makes the model perform well.
C) It's important to set aside a portion of your data for testing, so you can evaluate a model's performance using data that the model has not yet seen. Once you're confident that the model is performing well, you can use it to make predictions using new data.
D) All of the above statements are true.

Question

Quizplus · Accepted Answer

Generally, training your model with the smallest amount of data may not always make it perform well. The amount of data required to train a model depends on the complexity of the model and the problem it is solving. It is important to find the right balance between the amount of data used for training and the performance of the model.

Which of the Following Statements A), B) or C) Is