MCQs on Learning Algorithms

Which of the following is an example of a supervised learning algorithm?

• K-Means

• Decision Tree

• DBSCAN

• Apriori

In supervised learning, the model is trained with:

• Unlabeled Data

• Random Data

• Labeled Data

• No Data

Which algorithm is typically used for classification problems?

• K-Means

• Linear Regression

• Naive Bayes

• Principal Component Analysis

Linear Regression is used for:

• Classification

• Clustering

• Regression

• Dimensionality Reduction

Which supervised learning algorithm is based on the concept of nearest neighbors?

• Decision Tree

• K-Nearest Neighbors (KNN)

• Random Forest

• K-Means

Which algorithm combines multiple decision trees to improve accuracy?

• Random Forest

• Naive Bayes

• K-Means

• Logistic Regression

Support Vector Machines (SVM) are typically used for:

• Regression

• Clustering

• Classification

• Dimensionality Reduction

Which supervised learning algorithm is used to predict continuous values?

• Logistic Regression

• K-Means

• Linear Regression

• DBSCAN

Which of the following is not a supervised learning algorithm?

• Decision Tree

• Random Forest

• K-Means

• Logistic Regression

What is the primary goal of supervised learning?

• Discover patterns without labels

• Minimize prediction error

• Cluster similar data points

• Reduce data dimensionality