
Data Preprocessing Quiz
Quiz
•
Computers
•
University
•
Practice Problem
•
Medium
DEVI IT
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a method for handling missing values in a dataset?
Filling with mean
Filling with median
Filling with random numbers
Dropping the missing rows
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which preprocessing technique ensures that all features have a mean of 0 and a standard deviation of 1?
Min-Max Scaling
Robust Scaling
Standardization
Normalization
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
One-Hot Encoding is preferred over Label Encoding when:
The categorical variable is ordinal.
The categorical variable is nominal.
The categorical variable has missing values.
The variable is numerical.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main advantage of using a data preprocessing pipeline in Scikit-learn?
It reduces the dataset size.
It automates preprocessing steps and ensures consistency.
It automatically tunes model hyperparameters.
It generates more training data.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is most robust to outliers?
Min-Max Scaler
Standard Scaler
Robust Scaler
Normalizer
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which function in Python is commonly used to check for missing values in a dataset?
pd.isnull()
pd.fillna()
pd.dropna()
pd.groupby()
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the default strategy of SimpleImputer when used for numerical data?
Median
Mean
Most Frequent
Zero
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