Quiz on Supervised and Unsupervised Learning

What is supervised learning?

• Learning from unlabeled data

• Learning from labeled data

• Learning without any guidance

• Learning through random sampling

Which of the following is a type of supervised learning?

• Clustering

• Regression

• Dimensionality Reduction

• Anomaly Detection

What does regression predict?

• Unlabeled data

• Continuous values

• Patterns in data

• Categorical values

Which algorithm is commonly used for classification?

• Gaussian Mixture Models

• K-means

• Logistic Regression

• Apriori Algorithm

What is the main goal of unsupervised learning?

• To classify labeled data

• To discover patterns in unlabeled data

• To predict future outcomes

• To optimize performance criteria

Which of the following is NOT a disadvantage of supervised learning?

• Needs a lot of computation time

• Requires a training process

• Can handle complex tasks

• Requires labeled data

What type of problem does clustering address?

• Classifying labeled data

• Grouping similar data points

• Predicting future values

• Finding relationships between items

Which algorithm is used for association rule learning?

• Apriori Algorithm

• K-means

• Decision Trees

• Support Vector Machines

What is a common application of supervised learning?

• Anomaly detection

• Dimensionality reduction

• Image classification

• Data clustering

Which of the following is a characteristic of unsupervised learning?

• Has a supervisor

• Learns from unlabeled data

• Predicts continuous values

• Requires labeled data