Evaluation Metrics, Overfitting/Underfitting
How can overfitting be reduced in machine learning models?
Which of the following techniques helps prevent underfitting?
What is an ideal characteristic of a well-generalized machine learning model?
Which dataset is used to evaluate a machine learning model's performance before deployment?
Which of the following is an example of an unsupervised learning problem?