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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…
