Which metric is used to evaluate the performance of a model in terms of its abil

Which metric is used to evaluate the performance of a model in terms of its ability to distinguish between classes?

Which metric is used to evaluate the performance of a model in terms of its ability to distinguish between classes?

Step 1: Understand that we are looking for a metric to evaluate a model's performance.
Step 2: Know that the model we are discussing is a classification model.
Step 3: Recognize that classification models predict probabilities for different classes.
Step 4: Identify that the metric we are interested in is Log Loss.
Step 5: Learn that Log Loss measures how well the model's predicted probabilities match the actual classes.
Step 6: Conclude that a lower Log Loss value indicates better performance in distinguishing between classes.

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