*This question was migrated from the Slack channel #questions.*

**Original Question:**

Hello everyone. I am using FLOWER to develop a federated model on tabular datasets. It is a multiclassification problem, and I am using ANN as the base model. I want to generate a confusion matrix for each client at the end of each round. How should I do that? Has anyone tried that before?

**Answer:**

Hi! In order to compute a confusion matrix for each client at the end of each round, the easiest way to do it is to compute your confusion matrix inside the `evaluate`

function of your clients. To compute the confusion matrix you can, for instance, use the following `scikit-learn`

function: scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html.