
Data Encoding Techniques in Machine Learning Quiz

Quiz
•
Computers
•
University
•
Hard
Husna Husin
Used 3+ times
FREE Resource
8 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of these is an example of a categorical data?
Nationality
Number of students in class
Shoe size
Temperature today
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the two types of qualitative data?
Nominal and ratio
Ordinal and discrete
Nominal and ordinal
Interval and ratio
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of encoding categorical variables in machine learning?
To transform them into a numerical format for compatibility with algorithms
To introduce bias in the model
To remove all information about the categories
To increase the dimensionality of the data
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which encoding technique is suitable for categorical features with only two distinct categories?
One-Hot Encoding
Label Encoding
Ordinal Encoding
Binary Encoding
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main advantage of using Target Encoding (Mean Encoding) for high cardinality categorical features?
It discards all information about the categories
It reduces the dimensionality of the data
It introduces bias in the model
It retains the information within the original feature
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which encoding technique calculates the mean of the target variable for each category and replaces the category with this average value?
Target Encoding
Ordinal Encoding
Label Encoding
One-Hot Encoding
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of Count Encoding or Frequency Encoding?
To discard any meaningful information or relationships
To retain the original information about the frequency of each category
To introduce variability into the encoded values
To reduce dimensionality compared to one-hot encoding
8.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which encoding technique is based on a concept called Ordered Target Statistics and is suitable for high cardinality categorical features?
Catboost Encoder
Target Encoding
Label Encoding
One-Hot Encoding
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