{"data":{"full_name":"AvichalS/Email-Spam-Filtering","name":"Email-Spam-Filtering","description":"An email spam classification system based on Multinomial Naive Bayes, it uses NLP techniques to pre-process a dataset of spam/ham emails and trains a logistic regression model to be able to predict whether new emails are spam/ham. Evaluation of model accuracy is based on precision, recall, and F1-score metrics.","stars":1.0,"forks":0.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"sms-spam-detection","last_pushed_at":"2023-05-13T15:18:10+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":1.0,"maturity_score":9.0,"community_score":0.0,"quality_score":10.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-12T12:00:34.454809+00:00"}}