The process of training a Machine Learning model involves using a dataset known as the _________ set, while evaluating it involves the _________ set.
- testing, validation
- training, testing
- validation, testing
- validation, training
In supervised learning, a "training" set is used to train the model, and a "testing" set is used to evaluate its predictive performance on unseen data.
Loading...
Related Quiz
- You're designing a self-driving car's navigation system. How would reinforcement learning be applied in this context?
- Your regression model's MSE is high, but the MAE is relatively low. What might this indicate about the model's error distribution, and how would you investigate further?
- You've built a model with high variance. How can Cross-Validation help in diagnosing and improving the model?
- In a situation where the MAE is significantly lower than the RMSE, what might this tell you about the distribution of the errors in your model?
- Centering variables in Multiple Linear Regression helps to reduce the ___________ and ease the interpretation of interaction effects.