
Python for Machine Learning - The Complete Beginners Course - Evaluating the Performance of the Regression Model
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Information Technology (IT), Architecture
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University
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Practice Problem
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Hard
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the Mean Absolute Error (MAE) measure in model performance?
The average squared difference between predicted and actual values
The average absolute difference between predicted and actual values
The square root of the average squared differences
The total number of predictions made
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the Mean Absolute Error (MAE) calculated?
By summing the absolute differences and dividing by the number of observations
By taking the square root of the average squared differences
By counting the number of errors
By squaring the differences and averaging them
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the significance of dividing the total absolute error by the number of observations in MAE?
It provides the total error
It determines the prediction count
It gives the average error per observation
It calculates the squared error
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the Mean Squared Error (MSE) represent?
The average of the absolute differences
The total number of predictions
The average of the squared differences
The square root of the average squared differences
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the Root Mean Squared Error (RMSE) different from MSE?
RMSE is the square of MSE
RMSE is the square root of MSE
RMSE is the average of absolute differences
RMSE is unrelated to MSE
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