AI Exam - Machine Learning Fundamentals

What is the main goal of classification in supervised learning?

• Grouping similar items

• Predicting a category label

• Reducing dimensions

• Finding missing data

Which of the following is an example of a classification problem?

• Predicting the price of a car

• Identifying spam emails

• Estimating rainfall in a year

• Calculating average score

What type of data does classification typically deal with?

• Continuous values

• Numeric-only

• Categorical labels

• None of the above

Which of these could be an output of a classification algorithm?

• 12.8

• Red, Green, Blue

• 3.14159

• -2.7

What is the goal of regression in supervised learning?

• To separate clusters

• To estimate continuous values

• To label categories

• To organize files

Which of the following is a regression task?

• Predicting if a patient has diabetes

• Predicting stock price tomorrow

• Classifying types of fruits

• Identifying handwritten digits

What kind of output is produced by regression models?

• Binary

• Text-based

• Continuous numeric

• Discrete classes

Which algorithm is commonly used for regression?

• Logistic regression

• Linear regression

• K-means

• Naive Bayes

What is the primary goal of clustering?

• Assigning labels

• Predicting future values

• Grouping similar data points

• Removing outliers

Which of the following is an example of clustering?

• Spam email detection

• Customer segmentation

• Sentiment analysis

• Salary prediction