Question 8: Given the following information, what will be the output …

Given the following information, what will be the output of the code snippet?

• continuous: $y$ is an array-like of floats that are not all integers, and is 1D or a column vector.
• continuous-multioutput: $y$ is a 2D array of floats that are not all integers, and both dimensions are of size $> 1$.
• binary: $y$ contains $\leq 2$ discrete values and is 1D or a column vector.
• multiclass: $y$ contains more than two discrete values, is not a sequence of sequences, and is 1D or a column vector.
• multiclass-multioutput: $y$ is a 2D array that contains more than two discrete values, is not a sequence of sequences, and both dimensions are of size $> 1$.
• multilabel-indicator: $y$ is a label indicator matrix, an array of two dimensions with at least two columns, and at most 2 unique values.
• unknown: $y$ is array-like but none of the above, such as a 3D array, sequence of sequences, or an array of non-sequence objects.

1from sklearn.utils.multiclass import type_of_target
2import numpy as np
3
4print(type_of_target(['a', 'b', 'a']))
5print(type_of_target(np.array([['horror','fantasy'],
6                               ['adventure','fantasy'],
7                               ['adventure','fantasy']])))
8print(type_of_target(np.array([[1.5, 2.0], [3.0, 1.6]])))
9print(type_of_target(np.array([[0, 1], [1, 1]])))