Select the choice where Regression algorithms are not best fit

The correct answer is D. Employee status. Regression algorithms are usually employed when the data points are inherently numerical variables (such as the dimensions of an object the weight of a person, or the temperature in the atmosphere) but unlike Bayesian algorithms, they're not very good for categorical data (such…

Machine Learning Algorithms

Question

Options

AWhen the dimension of the object given
BWeight of the person is given
CTemperature in the atmosphere
DEmployee status

How the community answered

(39 responses)

A
8% (3)
B
3% (1)
C
8% (3)
D
82% (32)

Explanation

Regression algorithms are usually employed when the data points are inherently numerical variables (such as the dimensions of an object the weight of a person, or the temperature in the atmosphere) but unlike Bayesian algorithms, they're not very good for categorical data (such as employee status or credit score description).

Topics

#regression#categorical variables#algorithm selection#supervised learning

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