AWS Certified Machine Learning Engineer – Associate (MLA-C01) — Question 33

A company is using ML to predict the presence of a specific weed in a farmer's field. The company is using the Amazon SageMaker linear learner built-in algorithm with a value of multiclass_dassifier for the predictorjype hyperparameter.
What should the company do to MINIMIZE false positives?

Answer options

• A. Set the value of the weight decay hyperparameter to zero.
• B. Increase the number of training epochs.
• C. Increase the value of the target_precision hyperparameter.
• D. Change the value of the predictorjype hyperparameter to regressor.

Correct answer: C

Explanation

Increasing the target_precision hyperparameter helps to reduce false positives by making the model more conservative in its predictions. The other options do not directly address the issue of false positives; setting weight decay to zero can lead to overfitting, increasing training epochs may not improve precision, and changing to regressor is not suitable for a classification task.