Last updated on 8/5/21
Understand the Process of Training a Model
- Explain the process of training a model
Test your knowledge with these multiple choice questions.
Which of the following is true:
Input features should all be categorical.
Small datasets are better than large ones for machine learning.
Predicting categorical features is called classification.
You should always use all of your data to build a machine learning model.
Which of the following are essential to building a supervised machine learning model?
Having a PhD in statistics.
Having your data in a relational database.
Having access to a good spreadsheet program.
Having pre-labeled samples.
Why should you avoid testing your model using the training data?
It would take too long.
It’s not a fair, scientific test.
It’s not the right shape.
The accuracy would be too low.