1) After calculating Mean Square Error (MSE)  and Mean Absolute Error (MAE) for a linear model, we observe that the value of MSE is much larger than the value of MAE. What are the possible reasons? Group of answer choices Both A and B C. The data is not linear A. MAE is in y unit but MSE is squared B. There are outliers in the dataset   2) Suppose that there is a color column (feature) in a data frame with values in ("Blue", "Green", "Black", "Red"). What is the best way to prepare this column for modeling? Group of answer choices A) Label encoding B) Normalization C) One-hot encoding D) Replace the values with numbers (1,2,3,4)

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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1) After calculating Mean Square Error (MSE)  and Mean Absolute Error (MAE) for a linear model, we observe that the value of MSE is much larger than the value of MAE. What are the possible reasons?
Group of answer choices
Both A and B
C. The data is not linear
A. MAE is in y unit but MSE is squared
B. There are outliers in the dataset
 
2) Suppose that there is a color column (feature) in a data frame with values in ("Blue", "Green", "Black", "Red"). What is the best way to prepare this column for modeling?
Group of answer choices
A) Label encoding
B) Normalization
C) One-hot encoding
D) Replace the values with numbers (1,2,3,4)
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