Which of the following statements a), b) or c) is false?
A) By default, a xe "sklearn.linear_model module:LinearRegression estimator"xe "LinearRegression estimator from sklearn.linear_model"LinearRegression estimator uses all the features in the dataset's data array to perform a xe "linear regression:multiple"multiple linear regression.
B) An error occurs if any of the features passed to a xe "sklearn.linear_model module:LinearRegression estimator"xe "LinearRegression estimator from sklearn.linear_model"LinearRegression estimator for training are categorical rather than numeric. If a dataset contains categorical data, you must exclude the categorical features from the training process.
C) A benefit of working with scikit-learn's bundled datasets is that they're already in the correct format for machine learning using scikit-learn's models.
D) All of the above statements are true.

Question

Quizplus · Accepted Answer

Statement B is false. LinearRegression estimator can handle both numeric and categorical data, but categorical data needs to be encoded properly before passing it to the estimator for training. Therefore, excluding categorical features from training process is not necessary.

Which of the Following Statements A), B) or C) Is