Easy way to understand confusion matrix| you will never forget after reading this!
<p>Here is a straightforward explanation of the confusion matrix for absolute beginners. Most beginners, and even some experienced individuals, get confused by the confusion matrix.</p>
<p>In this explanation, I will attempt to clarify it in a simple way so that you will never be confused by it again.</p>
<p>Let’s assume that a model is used to predict whether a group of 50 people is corona positive or negative.</p>
<p><img alt="" src="https://miro.medium.com/v2/resize:fit:700/1*ct_F_2RCeT93-t6o2Dnvig.png" style="height:403px; width:700px" /></p>
<p>Confusion Matrix</p>
<p>TN — True Negative: The model predicted corona negative for 24 people, and they actually don’t have corona.</p>
<p>TP — True Positive: The model predicted corona positive for 16 people, and they actually have corona.</p>
<p>FP — False Positive: In this case, our model predicted that 6 people have corona positive, but they actually don’t have corona. Even though they don’t have corona, our model predicted that they are corona positive. This is an error known as Type 1 error. As a result of this error, even though they don’t have corona, they have to be in quarantine.</p>
<p><a href="https://medium.com/@rajuvenkatesh188/easiest-way-to-understand-confusion-matrix-you-will-never-forget-after-reading-this-ae0910ea75"><strong>Read More</strong></a></p>