Learn how to use confusion matrices to assess and improve the performance of your classification model, and how to visualize and compare the results.

A confusion matrix is a table used to evaluate the performance of a classification model. It is used to measure the accuracy of a model by comparing the predicted values with the actual values. Using ...

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and ...

It's called 'confusion matrix' because going by the definitions it seems easy, but as we move forward to derive more valuable parameters, confusion arises regarding which parameter is best suited at a ...

To visualize a confusion matrix, you can use heatmaps, which make it easy for users to understand. Heatmaps use colors to represent different values, with darker colors indicating higher values.