WorksheetsQuiz on Supervised and Unsupervised Learning
Total questions: 10
Worksheet time: 5mins
What is the primary purpose of a Decision Tree in supervised learning?
To classify data into categories
To predict continuous outcomes
To cluster similar data points
To visualize data in a linear format
Which algorithm is known as one of the best for constructing Decision Trees?
CART
ID3
Support Vector Machine
K-means
What does Entropy measure in the context of Decision Trees?
The amount of uncertainty in data
The accuracy of predictions
The number of decision nodes
The total number of leaves
In a classification tree, what type of variable is the decision variable?
Continuous
Categorical
Ordinal
Nominal
What is the main goal of regression analysis in machine learning?
To visualize data trends
To cluster data points
To predict continuous values
To classify data into distinct categories
Which of the following is a limitation of Decision Trees?
They can handle both categorical and continuous data
They are easy to interpret
They can lead to overfitting
They require less data preprocessing
What is the purpose of Information Gain in Decision Trees?
To measure the effectiveness of a split
To determine the accuracy of the model
To calculate the total number of leaves
To visualize the decision boundaries
Which type of regression is used for predicting binary outcomes?
Linear Regression
Logistic Regression
Polynomial Regression
Support Vector Regression
What is a key characteristic of Unsupervised Learning?
It uses feedback to improve accuracy
It predicts specific outcomes
It finds hidden patterns in data
It requires labeled data
In K-means clustering, what is the first step of the algorithm?
Determine the number of clusters
Assign data points to the nearest centroid
Calculate the mean of each cluster
Initialize the centroids
