Which of the following techniques can be used to handle missing values in Decisi
Practice Questions
Q1
Which of the following techniques can be used to handle missing values in Decision Trees?
Imputation
Ignoring missing values
Using a separate category for missing values
All of the above
Questions & Step-by-Step Solutions
Which of the following techniques can be used to handle missing values in Decision Trees?
Step 1: Understand that missing values are data points that are not available for some observations.
Step 2: Recognize that Decision Trees can handle missing values in different ways.
Step 3: Identify common techniques for handling missing values, such as: 1) Ignoring the missing values, 2) Imputing missing values with the mean, median, or mode, 3) Using a separate category for missing values, 4) Using algorithms that can handle missing values directly.
Step 4: Realize that the choice of technique depends on the specific context of the data and the problem being solved.
Step 5: Conclude that all mentioned techniques can be used to handle missing values in Decision Trees.
