Answered

Westonci.ca is the ultimate Q&A platform, offering detailed and reliable answers from a knowledgeable community. Get immediate and reliable solutions to your questions from a community of experienced professionals on our platform. Experience the convenience of finding accurate answers to your questions from knowledgeable experts on our platform.

A classifier with lower log loss has better accuracy.

A. True
B. False

Sagot :

GinnyAnswer

Final answer:

Lower log loss indicates better-calibrated predictions but doesn't directly improve classifier accuracy.


Explanation:

Log loss measures the performance of a classifier where lower values indicate better accuracy. However, log loss is not directly related to classifier accuracy; it is a measure of how well the predicted probabilities align with the true outcomes.

Lower log loss means the predicted probabilities are closer to the actual outcomes, demonstrating better calibration of the classifier. In scenarios like medical diagnosis, assigning appropriate penalties for misclassification through loss functions becomes crucial.

In conclusion, while lower log loss indicates better-calibrated predictions, it does not directly translate to improved classifier accuracy or performance.


Learn more about Log Loss and Classifier Performance here:

https://brainly.com/question/36379617


Thanks for stopping by. We are committed to providing the best answers for all your questions. See you again soon. We hope you found what you were looking for. Feel free to revisit us for more answers and updated information. Thank you for visiting Westonci.ca. Stay informed by coming back for more detailed answers.