{"data":{"full_name":"Hunterdii/Iriswise","name":"Iriswise","description":"IrisWise is a machine learning application for predicting Iris flower species. Built with Streamlit, this app provides a user-friendly interface to input flower measurements and receive predictions using various models, including K-Nearest Neighbors, (Random Forest, SVM, and Logistic Regression) **(Working On It...)**.","stars":6.0,"forks":3.0,"language":"Jupyter Notebook","license":null,"archived":0.0,"subcategory":"iris-classification-tutorials","last_pushed_at":"2024-10-05T06:26:41+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":4.0,"maturity_score":8.0,"community_score":14.0,"quality_score":26.0,"quality_tier":"experimental","risk_flags":"['no_license', 'stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-08T10:49:06.695044+00:00"}}