What is top-k accuracy?
A metric used to evaluate the performance of a model by measuring the proportion of times the correct answer is among the top k predictions
top-k accuracy explained in plain English
Analogy
Imagine you're trying to guess the name of a movie. Top-k accuracy is like checking if the correct movie title is in your list of top k guesses. If it is, you get a point, even if it's not your number one guess.
Example
In a self-driving car, the model might use top-k accuracy to recognize street signs. If the model thinks the top 3 possibilities are 'stop', 'yield', and 'merge', and the actual sign is 'stop', the model gets credit for being correct, even if 'stop' wasn't its number one guess.
How is top-k accuracy used?
Common misconceptions about top-k accuracy
History
Top-k accuracy has been used in machine learning for many years, particularly in tasks where the model produces a probability distribution over multiple possible answers.
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