202511171320 Status: idea Tags: Datascience, Machine Learning

Model Evaluation Metrics

When building machine learning models, it’s important to understand how well they perform. Evaluation metrics help us to measure the effectiveness of our models. Whether we are solving a classification problem, predicting continuous values or clustering data, selecting the right evaluation metric allows us to assess how well the model meets our goals. In this article, we will see commonly used evaluation metrics and discuss how to choose the right metric for our model. _{- GeeksForGeeks 29 Oct, 2025}

There are 3 general categories:

• Classification Metrics
• Regression Metrics
• Clustering Metrics

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References

Dit is iets wat we leren voor Datascience. dit was informatie vanuit avans 2-2 datascience 2025-11-10. en daarbij horen deze slides