Intuitively Explain Accuracy Precision, Recall and F1

Brief Explanation of the Definition of Machine Learning Metrics including Accuracy, Precision, Recall, and F1

Img from unsplash via link

This article aims to briefly explain the definition of commonly used metrics in machine learning, including Accuracy, Precision, Recall, and F1.

Accuracy measures the overall accuracy of the model performance.

Fig.1 Accuracy definition (Img created by Author)

Precision indicates how many predicted Positives are True Positives, out of all Predicted Positive.

Fig.2 Precision definition (Img created by Author)

Recall measures how many Positives the model predicted correctly, out of all Actual Positive.

Fig.3 Recall definition (Img created by Author)

F1 is the harmonic mean of precision and recall, according to Wikipedia.

Great! If you found this post helpful, feel free to hit those 👏 ‘s! If you need more details, please kindly read this article 🤞🤞.