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.

Question

Quizplus · Accepted Answer

A) Scikit-learn algorithms require input data to be in the form of a two-dimensional array (or array-like structure), where rows represent samples and columns represent features, not a one-dimensional array.

Which of the Following Statements Is False