regression
classification
random_state
missing_values
Answer is Wrong!
Answer is Right!
The correct answer is C. random_state.
The random_state parameter is used to control the randomness in the model. By setting a different random_state, you can get a different model with different results.
The other options are not correct because they do not control the randomness in the model.
A. regression is a type of machine learning model that is used to predict continuous values.
B. classification is a type of machine learning model that is used to predict discrete values.
D. missing_values is a parameter that is used to handle missing values in the data.