Working with small datasets can feel like trying to paint a masterpiece with just a few colors on your palette. When you’re optimizing credibility models—those statistical or machine learning models designed to estimate risks or predict outcomes based on limited information—the challenge is even more pronounced. But don’t worry, you don’t need a vast ocean of data to create accurate, reliable models. With the right techniques and mindset, you can make the most out of every single data point and optimize your credibility models effectively.