All the articles with the tag "ml".
Accuracy Is a Poor evaluation MetricPosted on:June 7, 2022 at 04:55 AM
Issues with using accuracy as an evaluation metric and what you should use instead
Deep Neural Networks for YouTube RecommendationsPosted on:August 29, 2021 at 04:29 AM
Paper summary on how to generate relevant YouTube recommendations
Beyond F1: using the Fbeta_score for better model evaluationPosted on:December 1, 2022 at 03:38 PM
Learn how to use the Fbeta_score, a powerful and flexible evaluation metric for classification tasks that allows the user to adjust the balance between precision and recall.
Solving Class Imbalance with Focal LossPosted on:December 1, 2022 at 03:19 PM
Focal loss is an effective technique for addressing class imbalance in machine learning by weighting the loss function to focus on hard-to-classify examples.