sharkenstein's comments

sharkenstein | 7 years ago | on: Understanding and explaining accuracy in machine learning systems

What are other metrics that can help validate the F1 score? I'm asking because I believe having a small sample size can skew the number or hide a flaw in the classification algorithm it's scoring.

In other words, what else should I ask to validate that a 70% F1-score is better than a 90% F1-score but on a smaller data set?

sharkenstein | 7 years ago | on: The Open Home Lab Stack (2017)

Very fun to read but may be too advanced to start with... is there a particular reason why I couldn't or should't run this on a regular core i7 7700k powered machine?

sharkenstein | 7 years ago | on: Our machine learning and NLP journey

When you talk about discerning between algorithms from Google, Stanford, etc... what's the criteria for doing that? Does it change based on the domain? if you are just trying to classify feedback how much the domain affects the algorithm?
page 1