Data Principles week 5 part 1

What type of learning is used by Decision Trees?

• Unsupervised Learning

• Reinforcement Learning

• Supervised Learning

• Semi-supervised Learning

Which of the following is NOT a processing data type for Decision Trees?

• Discrete

• Continuous

• Binary

• Categorical

What is the goal of a Decision Tree?

• To calculate probabilities

• To predict/classify the result based on the given criteria

• To cluster data into groups

• To find association rules

Which of the following is NOT a splitting rule used in Decision Trees?

• Entropy

• Gain Ratio

• Chi-Square Test

• Mean Squared Error

What is a Terminal Node (Leaf) in a Decision Tree?

• The node where further splitting is possible

• The node that contains the highest entropy

• The node that represents the final outcome of a decision path

• The node that is used to start the tree construction

Which of the following is a pruning technique in Decision Trees?

• Predicting Error Rate

• K-Means Clustering

• Support Vector Machines

• Linear Regression

According to the decision tree, if the outlook is 'Sunny' and it is 'Windy', what is the decision for outdoor exercise?

• A) Yes

• B) No

• C) Maybe

• D) The decision tree does not specify

What algorithm is mentioned as useful for building decision trees easily?

• A) ID3

• B) ID4

• C) ID2

• D) ID5

Based on the decision tree, under which condition is outdoor exercise definitely 'Yes'?

• A) Rainy and Windy

• B) Sunny and Not Windy

• C) Cloudy and High Humidity

• D) Cloudy and Normal Humidity

If the outlook is 'Rainy' and the humidity is 'High', what is the decision for outdoor exercise according to the decision tree?

• A) Yes

• B) No

• C) The decision tree does not specify

• D) The decision depends on the temperature