Which of the following techniques can be used to handle missing values in Decisi

₹0.0

Question: Which of the following techniques can be used to handle missing values in Decision Trees?

Options:

Correct Answer: All of the above

Solution:

All of the mentioned techniques can be used to handle missing values in Decision Trees, depending on the context.

Which of the following techniques can be used to handle missing values in Decision Trees?

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.

No concepts available.