A Look at Precision, Recall, and F1-Score

Precision, Recall, and F1-Score. These relate to getting a finer-grained idea of how well a classifier is doing, as opposed to just looking at overall accuracy. In this article, I provide a bit deeper look at each.

Building an NLP classifier: Example with Firefox Issue Reports

results these days. Libraries such as Keras, PyTorch, and HuggingFace NLP make the application of the latest research and models in the area a (relatively) easy task. In this article, I implement and compare two different NLP based classifier model architectures using the Firefox browser issue tracker data.