π Full-Stack Developer. I love to tinker in Web & ML/AI.
π¨βπ» Building LLM powered apps @_heroicstory (YC startup).
π https://github.com/embiem
Good point. What I left out in this project is comparing the performance of differently ML solutions, like naiΜve Bayes, decision trees, random forests etc.
Training these classifiers on our problem and evaluating and comparing the F1 score would actually be a good benchmark to compare our ANN against.
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Good point. What I left out in this project is comparing the performance of differently ML solutions, like naiΜve Bayes, decision trees, random forests etc.
Training these classifiers on our problem and evaluating and comparing the F1 score would actually be a good benchmark to compare our ANN against.