MACHINE LEARNING-PEDAGOGY METHOD

Which of the following is an example of supervised learning?

• Association Rule Mining

• Dimensionality Reduction

• Classification

• Clustering

Which algorithm is typically used for regression problems?

• Decision Trees

• K-Means

• Linear Regression

• Apriori

What is the purpose of the activation function in neural networks?

• • To initialize weights

• To perform feature scaling

• To introduce non-linearity

• To reduce dimensionality

Which of the following is NOT a type of neural network?

• Decision Tree

• Convolutional Neural Network (CNN)

• Recurrent Neural Network (RNN)

• Generative Adversarial Network (GAN)

In K-Nearest Neighbors (KNN), what does the value of "k" represent?

• The number of clusters

• The number of neighbors to consider

• The learning rate

• The number of decision trees

Which of the following is a type of unsupervised learning?

• Linear Regression

• K-Means Clustering

• Logistic Regression

• Random Forest

Which of the following is used for dimensionality reduction?

• Principal Component Analysis (PCA)

• Decision Trees

• Random Forest

• KNN

Which of the following is the main criterion used by the ID3 algorithm to select the best attribute for splitting the data?

• Entropy

• Variance

• Gini Index

• Mean Squared Error

The ID3 algorithm is primarily used for which type of machine learning task?

• Regression

• Classification

• Clustering

• Anomaly Detection

The ID3 algorithm constructs a decision tree by recursively selecting the attribute with the highest _______ for each split.