Use This Simple Technique To Never Struggle With TP, TN, FP and FN Again

Do you often struggle to label model predictions as TP, TN, FP and FN, and comprehend them? If yes, here's a simple guide to help you out.

When labeling any prediction, ask yourself two questions:

1. Did the model get it right? Answer: yes (or True) / no (or False).

2. What was the predicted class? Answer: Positive/Negative.

Next, combine the above two answers to get the final label.

For instance, say the actual and predicted class were positive.

1. Did the model get it right? The answer is yes (or TRUE).

2. What was the predicted class? The answer is POSITIVE.

Final label: TRUE POSITIVE.

As an exercise, try labeling the following predictions. Consider the “Cat” class as “Positive” and the “Dog” class as “Negative”.

Let me know your answer in the comments :)

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Find the code for my tips here: GitHub.

I like to explore, experiment and write about data science concepts and tools. You can read my articles on Medium. Also, you can connect with me on LinkedIn and Twitter.