AWS Certified Machine Learning - Specialty MLS-C01 — Question 275
Topic 1 · Question 275 of 369
Topic 1 · Question 275
A company is building a new supervised classification model in an AWS environment. The company's data science team notices that the dataset has a large quantity of variables. All the variables are numeric. The model accuracy for training and validation is low. The model's processing time is affected by high latency. The data science team needs to increase the accuracy of the model and decrease the processing time. What should the data science team do to meet these requirements?