🔧 Going Beyond Accuracy: Understanding the Balanced Accuracy, Precision, Recall and F1-score.

Tutorial about metrics which are used for machine learning model validations. The metrics covered in this tutorial are balanced accuracy, precision, recall and F1-score. This same tutorial may be read in a portuguese version here.

During a data science project one of the most wished steps is the development of a machine learning model. In this...