MLS-C01 Question #298: Real Exam Question with Answer & Explanation

Question

A machine learning (ML) specialist is training a multilayer perceptron (MLP) on a dataset with multiple classes. The target class of interest is unique compared to the other classes in the dataset, but it does not achieve an acceptable recall metric. The ML specialist varies the number and size of the MLP's hidden layers, but the results do not improve significantly. Which solution will improve recall in the LEAST amount of time?

Options

• AAdd class weights to the MLP's loss function, and then retrain.
• BGather more data by using Amazon Mechanical Turk, and then retrain.
• CTrain a k-means algorithm instead of an MLP.
• DTrain an anomaly detection model instead of an MLP.