Data Analytics using R and Python (22B12CS413) Quiz 4 - C433-9.1

Which of the following is an example of supervised machine learning?

• Clustering

• Regression

• Reinforcement Learning

• Unsupervised Learning

What is the main purpose of a decision tree in machine learning?

• To visualize the data in 3D space

• To identify the most important features in the data

• To predict the class or value of a target variable based on input features

• To cluster the data into groups based on similarity

Which algorithm is used to build decision trees in machine learning?

• K-Nearest Neighbors

• Support Vector Machines

• Random Forest

• ID3

What is the goal of pruning in decision trees?

• To reduce overfitting and improve generalization performance

• To increase the depth of the tree and capture more information

• To remove noisy data points from the training set

• To improve the accuracy of the predictions on the training set

What is the main disadvantage of decision trees in machine learning?

• They are only suitable for categorical data

• They are sensitive to small changes in the training data

• They are computationally expensive and require large amounts of memory

• They are prone to overfitting and can produce complex models that are difficult to interpret