Friday, February 3, 2023

Machine Learning MCQ - Both supervised and unsupervised learning have input variables

Multiple choices questions in Machine learning. Interview questions on machine learning, quiz questions for data scientist answers explained, input and output variables for supervised machine learning, input variables for unsupervised machine learning algorithm, categorical variables for machine learning

Machine Learning MCQ - Supervised and unsupervised learning have at least one input variable

< Previous                      

Next >


1. Both supervised learning and unsupervised learning require at least one _________ .

a) output variable.

b) input variable.

c) hidden variable.

d) categorical variable.

Answer: (c) input variable

In supervised learning, we have both input and output variables. But in unsupervised learning, we have only input data and no corresponding output variables.

Input variables (also referred as independent variables) are features that are input to a model to predict the value of the output variables (also referred as dependent variables). In the function mentioned below, X is input variable and Y is output variable;

Y = f(X)

Categorical data refers to input features that represent one or more discrete items from a finite set of choices.


< Previous                      

Next >



Related links:

What is input and output variables in machine learning?

Categorical variable

Which variable is common in both supervised and unsupervised machine learning algorithms?

Machine learning solved mcq, machine learning solved mcq


No comments:

Post a Comment

Featured Content

Multiple choice questions in Natural Language Processing Home

MCQ in Natural Language Processing, Quiz questions with answers in NLP, Top interview questions in NLP with answers Multiple Choice Que...

All time most popular contents

data recovery