Learn what a confusion matrix is, how to interpret it, and how to use it to measure the performance of your machine learning models in data analytics.

A confusion matrix is a table used to evaluate the performance of a classification model. It can be used to measure the accuracy of a model in predicting the correct class for each data point. To ...

In this post I will demonstrate how to plot the Confusion Matrix. I will be using the confusion martrix from the Scikit-Learn library (sklearn.metrics) and Matplotlib for displaying the results in a ...

How to create code for Confusion Matrix in Python? The sklearn library provides a variety of functionalities to perform all the machine learning tasks with utmost accuracy and almost everything has ...

In the paper “MLCM: Multi-Label Confusion Matrix” a method for computing the confusion matrix for the multi-label classification problem is proposed. Although the authors state that there is no ...