What is the primary goal of supervised learning?

• To maximize rewards through trial and error

• To predict output based on labeled training data

• To group similar objects into clusters

• To find hidden patterns in unlabeled data

Which of the following is an example of regression in supervised learning?

• Predicting the price of a house

• Segmenting customers into groups

• Classifying emails as spam or not spam

• Finding relationships between items in a dataset

In supervised learning, what does the output variable Y represent?

• The input data

• The mapping function

• The predicted output

• The training data

What type of classification involves predicting more than one class for each input?

• Multi-label classification

• Imbalanced classification

• Multi-class classification

• Binary classification

Which algorithm is commonly used for clustering in unsupervised learning?

• Logistic Regression

• Random Forest

• K-Means

• Support Vector Machine

What is the main characteristic of reinforcement learning?

• Learning by clustering data

• Learning through trial and error

• Learning without supervision

• Learning from labeled data

Which of the following is NOT a type of regression?

• Non-linear Regression

• Simple Regression

• Multiple Regression

• Hierarchical Regression

What is the purpose of dimensionality reduction in unsupervised learning?

• To simplify the dataset by reducing the number of variables

• To increase the number of features

• To classify data into categories

• To predict continuous outcomes

In the context of classification, what does 'imbalanced classification' refer to?

• Having equal representation of all classes

• Having one class with significantly more examples than others

• Classifying data into multiple labels

• Using algorithms that balance the classes

Which of the following algorithms is used for association rule learning?

• A-priori

• K-Means

• Linear Regression

• Decision Trees