Multiple-Choice Quiz on Machine Learning

Which algorithm is used for feature selection?

• K-means

• DBSCAN

• Decision Trees

Which algorithm can be used for both regression and classification?

• K-means

• Decision Trees

• DBSCAN

Which algorithm can handle categorical data without preprocessing?

• K-means

• DBSCAN

• Decision Trees

What does t-SNE stand for?

• T-distributed Stochastic Neighbor Embedding

• Tree-Structured Neighborhood Embedding

• Time Series Network Evaluation

Which algorithm is suitable for visualizing high-dimensional data in lower dimensions?

• Decision Trees

• t-SNE

• DBSCAN

Which algorithm is used for both regression and classification tasks?

• Decision Trees

• t-SNE

• K-means

In t-SNE, what does the perplexity parameter control?

• The number of nearest neighbors to consider

• The learning rate

• The number of iterations

Which algorithm is used for imputing missing values?

• K-means

• DBSCAN

• Decision Trees

What is the main disadvantage of Decision Trees?

• They are prone to overfitting

• They cannot handle categorical data

• They are computationally expensive

Which of the following is an unsupervised learning algorithm?

• Decision Trees

• DBSCAN

• t-SNE