Test Your Knowledge
Question 1 of 4
What is the primary purpose of the training dataset in machine learning?
To evaluate the model's performance
To detect overfitting
To allow the model to learn patterns in the data
To tune hyperparameters
Question 2 of 4
Which of the following is NOT a benefit of using a train-test split?
Model evaluation
Overfitting detection
Hyperparameter tuning
Data cleaning
Question 3 of 4
Why is it important to test a model on unseen data?
To increase the model's accuracy
To assess the model's ability to generalize
To create more training data
To speed up the training process
Question 4 of 4
What factor(s) should be considered when determining the train-test split ratio?
Dataset size
Problem complexity
Available computational resources
All of the above