SUL Topic 5a - Decision Tree

Question 1

Decision Tree

Answer 1

Supervised learning algorithm used for classification problems

Question 2

Advantages of Decision Trees

Answer 2

Easy interpretation
Handles numerical and categorical data

Question 3

Disadvantages of Decision Trees

Answer 3

Prone to overfitting
Unstable with small data variations

Question 4

Applications of Decision Trees

Answer 4

Predicting insurance premiums
Home prices

Question 5

Types of Decision Trees

Answer 5

Regression trees (continuous variables)
Classification trees (categorical variables)

Question 6

Handling Unseen Data in Regression Trees

Answer 6

Use mean or median

Question 7

Handling Unseen Data in Classification Trees

Answer 7

Use mode

Question 8

Pruning in Decision Trees

Answer 8

Essential technique to prevent overfitting

Question 9

Popular Decision Tree Algorithms

Answer 9

ID3
Gini index

Question 10

Why are Decision Trees popular for beginners?

Answer 10

Easy to understand and interpret

Question 11

Enhancing Decision Tree Accuracy

Answer 11

Integrating with advanced algorithms like Random Forest

Question 12

Implementation of Decision Trees

Answer 12

Simplified by Python libraries like scikit-learn

Question 13

Real-World Applications of Decision Trees

Answer 13

Predicting survival rates
Pricing

Question 14

Types of decision tree algorithm

Answer 14

C5.0

Question 15

CHAID

Answer 15

Stands for Chi-squared Automatic Interaction Detection

Question 16

QUEST

Answer 16

Stands for Quick, Unbiased and Efficient Statistical Tree

Question 17

Strengths of Decision Trees

Answer 17

Generate understandable rules
Handle continuous and categorical data

Question 18

Weaknesses of Decision Trees

Answer 18

Less appropriate for continuous value prediction
Prone to errors with many classes

Question 19

Computational Aspect of Decision Trees

Answer 19

Can be expensive to train

Question 20

Important Fields in Decision Trees

Answer 20

Provide clear indication of which are most important for prediction or classification