When a Polynomial Regression model is overfitted, it will perform well on the _________ data but poorly on the _________ data.
- test, training
- training, test
- training, validation
- validation, training
An overfitted Polynomial Regression model will fit the training data very well but perform poorly on unseen test data.
Loading...
Related Quiz
- Which technique involves setting a fraction of input units to 0 at each update during training time, which helps to prevent overfitting?
- Explain the concept of the bias-variance tradeoff in relation to overfitting and underfitting.
- A core point in DBSCAN is a point that has at least MinPts within _________ distance from itself.
- You have trained an SVM but the decision boundary is not fitting well to the data. How could adjusting the hyperplane parameters help?
- Consider a self-driving car learning from trial and error in a simulated environment. This is an example of which type of learning?