When we start our machine learning classification problem with data we always try to get the best model for our data. But hold on how can we decide, whether our model is correct for our given data. Here comes in picture the confusion matrix which describes the performance of a classification model.
First of all, I would like to take a question which is very common and mistaken by many whether accuracy is enough to decide is model is best for any data or not.

For sure accuracy is one of an important metric to consider but it sometimes is…

Nikhil agarwal

Editor in Chief at Nerd For Tech. To connect with me:

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