My Learning Cart
?
Categories
Account

What is a potential drawback of using a single Decision Tree?

₹0.0
Login to Download
  • 📥 Instant PDF Download
  • ♾ Lifetime Access
  • 🛡 Secure & Original Content

What’s inside this PDF?

Question: What is a potential drawback of using a single Decision Tree?

Options:

  1. They are very fast to train.
  2. They can easily handle large datasets.
  3. They are prone to overfitting.
  4. They require extensive preprocessing.

Correct Answer: They are prone to overfitting.

Solution: 

A single Decision Tree is prone to overfitting, especially if it is deep and complex.

What is a potential drawback of using a single Decision Tree?

Practice Questions

Q1
What is a potential drawback of using a single Decision Tree?
  1. They are very fast to train.
  2. They can easily handle large datasets.
  3. They are prone to overfitting.
  4. They require extensive preprocessing.

Questions & Step-by-Step Solutions

What is a potential drawback of using a single Decision Tree?
  • Step 1: Understand what a Decision Tree is. It is a model that makes decisions based on asking a series of questions.
  • Step 2: Recognize that a single Decision Tree can become very detailed and complex.
  • Step 3: Know that when a Decision Tree is too complex, it can fit the training data very well but may not perform well on new, unseen data.
  • Step 4: This issue is called 'overfitting.' It means the model learns the noise in the training data instead of the actual patterns.
  • Step 5: Conclude that a potential drawback of using a single Decision Tree is that it can overfit, leading to poor predictions on new data.
No concepts available.
Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely
Home Practice Performance eBooks