GoknurK/Tanzania-Water-Wells-Status-Prediction

Predicting patterns in non-functional water wells in Tanzania aimed to inform more robust construction methods for new wells. By analyzing data on almost 60,000 wells, the goal was to minimize false negatives in identifying non-functional wells, crucial for ensuring access to clean water for Tanzania's population. # Tanzania WaterWells Status Prediction **Authors and Contact Information:** - Goknur Kaya (Github Lead) - Kari Primiano (Technical Lead) - Mytreyi Abburu(Presentation Lead) 17 November, 2023 ## Overview Tanzania, as a developing country, struggles with providing clean water to its population of over 57,000,000. There are many wells (water points) already established in the country, but some are in need of repair while others have failed altogether. The Government of Tanzania is looking to find patterns in non-functional wells to influence how new wells are built. We have analyzed data on almost 60,000 wells across the country of Tanzania. ## Business Problem Tanzania faces challenges in ensuring access to clean water for its population due to non-functional water wells. We will be looking to predict patterns in non-functional wells to inform more robust construction methods for new wells. Our stakeholders for this project is the Government of Tanzania as we are aiming to minimize the Type II error/false negative; in this case minimizing identifying wells as nonfunctional while they are actually functional. Focusing on recall (false negative) may be more important to ensure that most of the non-functional wells are correctly identified. ## Data Understanding The comes from Driven Data - Tanzanian Water Wells - Labels - Values **Target** - functional : the well is operational and there are no repairs needed - functional needs repair : the well is operational, but needs repairs - non functional : the well is not operational **Features** - amount_tsh : Total static head (amount water available to well) - date_recorded : The date the row was entered - funder : Who funded the well - gps_height : Altitude of the well - installer : Organization that installed the well - longitude : GPS coordinate - latitude : GPS coordinate - wpt_name : Name of the well if there is one - num_private :Private use or not - basin : Geographic water basin - subvillage : Geographic …