Learn Classification Metrics like Accuracy, Precision, Recall, F1, and ROC Curves

This video will show you classification metrics you can use to evaluate your classifier. In this video, you will learn about: - Metrics Symon provides for model evaluation - Accuracy - Precision - Recall - Trade-offs between metrics (what happens when you improve precision?) - F1 - Area under the ROC curve - How the baseline score is calculated in Symon - Where to find metrics in Symon for your evaluation #ROCcurve Symon is a no-code data science & automation tool that saves time and adds a new dimension of analytical capabilities to your business.