AI and Machine Learning Quiz

What is the main purpose of unsupervised learning?

• To predict labels from input data

• To find patterns or groupings in data

• To optimize decision-making based on rewards

• To create labelled datasets

Which metric is often used to evaluate clustering quality?

• F1 Score

• R-squared

• Mean absolute error

• Silhouette score

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

• K-means

• Apriori algorithm

• Random Forest

• Gradient descent

Hierarchical clustering produces a:

• Single cluster

• Linear model

• Tree-like structure of clusters

• Constant value

In supervised learning, what is overfitting?

• When the model performs poorly on training data

• When the model performs well on training data but poorly on unseen data

• When the model is too simple

• When the model is too complex but generalizes well

Which of the following is NOT a common supervised learning algorithm?

• Support Vector Machines

• K-nearest neighbours

• Hierarchical clustering

• Random Forest

Which of the following scenarios is a good fit for semi-supervised learning?

• Large amounts of labelled data are available

• Labelling data is expensive or time-consuming

• Only unlabelled data is available

• The problem is strictly a regression problem

Which of the following is NOT a common application of semi-supervised learning?

• Text classification

• Image classification

• Clustering of unlabelled data

• Speech recognition

Which of the following is an example of supervised learning?

• K-means clustering

• Principal component analysis

• Linear regression

• Association rule learning

Which of the following is NOT a benefit of using AI in financial forecasting?

• Improved accuracy

• Faster processing of data

• Elimination of all risks

• Ability to analyze large datasets