from sklearn.model ..... selection import train ..... test ..... split X ..... train, X ..... test, y ..... train, y ..... test = train ..... test ..... split(X, y, test ..... size = 0.2, random ..... state = 0)In this code What does its splits?

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Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]

from sklearn.model ____ selection import train ____ test ____ split X ____ train, X ____ test, y ____ train, y ____ test = train ____ test ____ split(X, y, test ____ size = 0.2, random ____ state = 0)In this code What does its splits?

A	select X and Y into testing sets
B	select X and Y into training sets
C	split X and Y into testing sets
D	split X and y into training and testing sets

Explanation:

Detailed explanation-1: -The train test split function of the sklearn. model selection package in Python splits arrays or matrices into random subsets for train and test data, respectively.

Detailed explanation-2: -The Sklearn train test split function helps us create our training data and test data. This is because typically, the training data and test data come from the same original dataset. To get the data to build a model, we start with a single dataset, and then we split it into two datasets: train and test.

Detailed explanation-3: -The train test split() method is used to split our data into train and test sets. First, we need to divide our data into features (X) and labels (y). The dataframe gets divided into X train, X test, y train and y test.

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