Which of the Following Statements Is False

Multiple Choice

Which of the following statements is false?

A) Scikit-learn's machine-learning algorithms require samples to be stored in a one-dimensional array of floating-point values (or one-dimensional array-like collection, such as a list) .
B) To represent every sample as one row, multi-dimensional data must be flattened into a one-dimensional array.
C) If you work with a dataset containing categorical features (typically represented as strings, such as 'spam' or 'not-spam') , you have to preprocess those features into numerical valuesxe "one-hot encoding[one hot encoding]".
D) Scikit-learn's sklearn.preprocessing module provides capabilities for converting categorical data to numeric data.