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Evaluation Metrics for Binary Classification

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20 Evaluation Metrics for Binary Classification​

Classification metrics let you assess the performance of machine learning models. As there are so many of them, each one with its benefits and drawbacks, and selecting an evaluation metric that works for your problem can sometimes be tricky.

In this article, you will learn about a wide range of evaluation metrics— from the common and lesser-known—and charts to understand how to choose the model performance metric for your problem.

Specifically, I will talk about:

  • What is the definition and intuition behind most major classification metrics
  • The non-technical explanation that you can communicate to business stakeholders about metrics for binary classification
  • How to plot performance charts and calculate common metrics for binary classification,
  • When should you use them

With that, you will understand the trade-offs so that making metric-related decisions will be easier.

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https://neptune.ai/blog/evaluation-metrics-binary-classification