{"data":{"full_name":"angelbech/iris-classifier","name":"iris-classifier","description":"Machine learning classification project using Random Forest, Logistic Regression, and Decision Trees on the Iris dataset. Includes model comparison, learning curves, feature importance analysis, and comprehensive evaluation metrics. Built with scikit-learn.","stars":0.0,"forks":0.0,"language":"Python","license":null,"archived":0.0,"subcategory":"iris-classification-tutorials","last_pushed_at":"2026-03-15T12:37:24+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":13.0,"adoption_score":0.0,"maturity_score":1.0,"community_score":0.0,"quality_score":14.0,"quality_tier":"experimental","risk_flags":"['no_license', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-06T08:19:20.932031+00:00"}}