Accuracy, Recall, Precision, F1 Score in Python from scratch

In this tutorial, we will walk through a few of the classifications metrics in Python’s scikit-learn and write our own functions from scratch to understand the math behind a few of them. This tutorial will cover the following metrics from sklearn.metrics : confusion_matrix accuracy_score recall_score precision_score f1_score roc_curve roc_auc_score Link to the notebook : https://github.com/bhattbhavesh91/cla... If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those. If you enjoy these tutorials & would like to support them then the easiest way is to simply like the video & give it a thumbs up & also it's a huge help to share these videos with anyone who you think would find them useful. Please consider clicking the SUBSCRIBE button to be notified for future videos & thank you all for watching. You can find me on: Blog - http://bhattbhavesh91.github.io Twitter - / _bhaveshbhatt GitHub - https://github.com/bhattbhavesh91 Medium - / bhattbhavesh91 #accuracy #precision #python #recall #f1score #rocscore

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