Unlocking the Power of Visual Data with Confusion Matrices and Heatmaps
A confusion matrix is a powerful tool for presenting machine learning model errors. This grid of numbers allows us to see how many examples were classified correctly and incorrectly. In this tutorial, we’ll delve into creating a confusion matrix and heatmap for visualizing data. By using color gradients to represent different categories, similarities and discrepancies in the dataset become more apparent. This visualization technique is particularly useful when dealing with multiple classes.
Dive into the world of visual data analysis with a visual breakdown of confusion matrices.