Precision-Recall trade-off easily explained | Confusion Matrix Metrics Part 2 | Machine Learning

#precision #recall #tradeoff #machine_learning
#confusion_matrix #metrics
#data_science #classification #explained
In this Part 2 tutorial on Confusion Matrix Metrics, we'll look at the Precision-Recall trade-off.
We'll see how the precision and recall vary over a range of threshold values and come at the conclusion that they follow an inverse relationship, i.e. when precision increases, recall decreases and vice versa.
I've uploaded all the relevant code and datasets used here (and all other tutorials for that matter) on my github page which is accessible here:
Link:
github.com/rac...
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[@ishikaagarwal6945]

Nicely explained