Learning Notebook - David Rostcheck
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I thought I will explain in this blog post that Accuracy need not necessary be the one-and-only model metrics data scientists chase and include simple explanation of other metrics as well.
Personal Notes
Accuracy: percentage of correctly predicted observation to the total observations. Precision: Of the ones we labeled, how many predictions came true? Recall: Of all the ones that truly happened, how many did we label? F1: Weighted balance between precision and recall (good for skewed distributions)
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