Accuracy, Precision, Recall easily explained | Confusion Matrix Metrics Part 1 | Machine Learning

#accuracy #precision #recall #machine_learning
#confusion_matrix #metrics
#data_science #classification #explained
In this Part 1 tutorial on Confusion Matrix Metrics, we'll look at Accuracy, Precision, and Recall as ways of evaluating our model performance.
We'll see how accuracy fails for an imbalanced dataset, and how to interpret Precision and Recall for classification tasks.
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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[@RobertoChavezQuintero]

Very well explained!!