Module 11 - Decision Tree

Question 1

it is a tree shaped diagram used to determine the course of action.

Answer 1

Decision Tree

Question 2

2 Uses of a Decision Tree:

Answer 2

1. Regression Analysis
2. Classification Analysis

Question 3

is a statistical method that allows you to examine the relationship between two or more variable of interest

Answer 3

Regression Analysis

Question 4

is a data analysis task that identifies and assigns categories to a collection of data to allow for more accurate analysis.

Answer 4

Classification Analysis

Question 5

3 Advantages of Decision Tree:

Answer 5

1. Simple to understand, interpret, and visualize.
2. Can handle both numerical and categorical data
3. Non-linear parameters don’t affect its performance.

Question 6

3 Disadvantages of Decision Tree

Answer 6

1. Overfitting
2. High Variance
3. Low Biased Tree

Question 7

this occurs when the algorithm captures noise in the data.

Answer 7

Overfitting

Question 8

the model an get unstable due to small variation in the data.

Answer 8

High Variance

Question 9

a highly complicated decision tree tends to have a low bias which makes it difficult for the model to work with new data.

Answer 9

Low Biased Tree

Question 10

(4) Definition of Terms:

Answer 10

1. Entropy
2. Information Gain
3. Leaf Node
4. Root Node

Question 11

is a measure of randomness of unpredictability of the dataset.

Answer 11

Entropy

Question 12

is a measure of decrease in the entropy after the data set is split.

Answer 12

Information Gain

Question 13

it carries the classification or the decision.

Answer 13

Leaf Node

Question 14

is the topmost decision node in the decision tree.

Answer 14

Root Node