Tag:ml
All the articles with the tag "ml".
Accuracy Is a Poor evaluation Metric
Posted on:June 7, 2022 at 04:55 AMIssues with using accuracy as an evaluation metric and what you should use instead
Deep Neural Networks for YouTube Recommendations
Posted on:August 29, 2021 at 04:29 AMPaper summary on how to generate relevant YouTube recommendations
Beyond F1: using the Fbeta_score for better model evaluation
Posted on:December 1, 2022 at 03:38 PMLearn 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 Loss
Posted on:December 1, 2022 at 03:19 PMFocal loss is an effective technique for addressing class imbalance in machine learning by weighting the loss function to focus on hard-to-classify examples.