This question evaluates your understanding of model evaluation metrics and their applicability to classification problems. Recruiters assess your ability to choose metrics based on the problem context, such as precision-recall trade-offs or class imbalance. Common pitfalls include relying solely on accuracy or failing to account for business goals. A strong answer includes discussing metrics like precision, recall, F1-score, ROC-AUC, and confusion matrices, and tailoring the evaluation strategy to the problem.
How it works?
Create your profile by uploading an existing resume or create one from scratch using our resume builder.
Start searching for jobs anywhere you want and paste the job description in the box in FirstResume.
One click, and we will track your job with AI, analyse your compatibility, create your perfect resume and more, ready to apply.
We frequently write blogs that help our community with their career growth! Don't miss out!
Discord is where we give updates, offer member exclusive giveaways, and help each other grow on our careers.
%20(2).png)
