Your Model Is 95% Accurate — But Completely Useless: A Practical Guide to ML Metrics
中文摘要
模型准确率高不代表实用，机器学习评估需关注实际应用指标。
English Summary
High accuracy can be misleading in machine learning; this guide explains why selecting the correct metrics is essential to evaluate a model's true practical utility.
Original Excerpt
In machine learning, building a model is only the first step. Continue reading on Medium »