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If it walks like a duck, talks like a duck, it’s a pig… The Confusion Matrix is a Simple Tool for Model Performance
Third in a Series: Mastering Data Quality for Safe & Scalable AI Saibal Banerjee, PhD and Steven Atneosen, JD Introduction If there’s one tool every data scientist should master, it’s the confusion matrix. Despite its simplicity, it offers unparalleled insight into model performance, including class-wise behaviors, average trends, systemic biases, and types of errors. If…
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Accuracy Isn’t Enough: Why You Need to Rethink AI Model Metrics
First in a Series: Mastering Data Quality for Safe & Scalable AI Saibal Banerjee, PhD and Steven Atneosen, JD Introduction Accuracy is the most commonly cited metric in machine learning. But if your dataset is imbalanced, accuracy can be dangerously misleading. For professionals working with sensitive PII, this misdirection can be catastrophic. Understanding how your…
