Podcast
Questions and Answers
What does supervised learning regression predict?
What does supervised learning regression predict?
- Continuous values (correct)
- Discrete values
- Categorical values
- Binary values
In supervised learning, what percentage of data is typically used for training?
In supervised learning, what percentage of data is typically used for training?
- 60%
- 80% (correct)
- 90%
- 40%
What is the main difference between classification and regression in supervised learning?
What is the main difference between classification and regression in supervised learning?
- Classification predicts continuous values, while regression predicts discrete values.
- Regression is used for categorical data, while classification is used for numerical data.
- Classification focuses on binary outcomes, while regression focuses on multi-class outcomes.
- Classification deals with defined labels, while regression deals with continuous values. (correct)
What is the purpose of testing data in supervised learning?
What is the purpose of testing data in supervised learning?
In binary classification, what are the typical prediction outcomes?
In binary classification, what are the typical prediction outcomes?
What kind of output does regression deal with in supervised learning?
What kind of output does regression deal with in supervised learning?
What is the primary purpose of the training set in supervised machine learning?
What is the primary purpose of the training set in supervised machine learning?
Which set is used to tune the model's hyperparameters, such as learning rate or regularization parameter?
Which set is used to tune the model's hyperparameters, such as learning rate or regularization parameter?
What is the primary purpose of the test set in supervised machine learning?
What is the primary purpose of the test set in supervised machine learning?
Which step in the supervised machine learning process involves normalization and data transformation procedures?
Which step in the supervised machine learning process involves normalization and data transformation procedures?
What is the purpose of the training and test data split in supervised machine learning?
What is the purpose of the training and test data split in supervised machine learning?
Which step in the supervised machine learning process involves trying different model parameters and selecting the best model?
Which step in the supervised machine learning process involves trying different model parameters and selecting the best model?
What is the primary goal of supervised learning?
What is the primary goal of supervised learning?
Which of the following is a major advantage of supervised learning?
Which of the following is a major advantage of supervised learning?
What is the first step in the supervised learning process?
What is the first step in the supervised learning process?
Which of the following is a potential disadvantage of supervised learning?
Which of the following is a potential disadvantage of supervised learning?
What is the purpose of splitting the labeled data into training, validation, and testing sets?
What is the purpose of splitting the labeled data into training, validation, and testing sets?
In supervised learning, which of the following is true about the relationship between the input data and output labels?
In supervised learning, which of the following is true about the relationship between the input data and output labels?
Flashcards are hidden until you start studying
