I believe it is a common topic. However, I am sharing how I understood these concepts because it took me a while to grasp these concepts.

First, I will start with a confusion matrix which is also known as an Error matrix. This is a fundamental concept to understand in the field of machine learning.

  • Confusion matrix displays the number of true positives, true negatives, false positives, and false negatives given some number of input data points (usually n)
Image for post
Image for post

From the image above, n is the input data points. Here we have 2 classes which are :

  • Actual No: Class…

Dami T. Sparks Omifare

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