Скачать или смотреть When Is Accuracy Not The Best Classification Metric?

Accuracy is a foundational metric in machine learning, but did you know there are critical scenarios where relying on it can lead you astray? This video dives deep into the pitfalls of accuracy and reveals when you need to look beyond this common measure.

In this video, we uncover:
► Why accuracy can be misleading, especially with imbalanced datasets.
► The importance of understanding false positives and false negatives in your models.
► Alternative classification metrics like Precision, Recall, F1-Score, and AUC-ROC.
► How to choose the right metric based on your specific problem and business objectives.


#ClassificationMetrics, #MachineLearning, #AIDevelopment, #DataScience