
Celebrating Open Data Day 2021: The Power of Rural Water Point Data to Improve Decisions
WPDx is excited to promote transparent data sharing in the rural water sector through our first Open Data Day celebration! Bringing Together the Pieces of
This tool harnesses the power of machine learning to make predictions about the status of water points based on the past performance of similar water points in the country.
This tool uses available WPDx attributes, such as #water_tech, #water_source, #pay, and others as training data for developing a classification machine learning model. The target variable is #status_id. The models are tuned to optimize the precision (percent of water points that are actually broken) and the recall (percent of all broken water points that are identified as high risk). Predictions are based on adjusting calculating the age of each water point based on #install_year and the current year. A priority for each water point (high/medium/low) is assigned based on the relative number of water points within 1 kilometer and the population within 1 kilometer.
Like all predictions, these predictions are based on probabilities and may not reflect the reality of the status of water points at a given point in time.
WPDx is excited to promote transparent data sharing in the rural water sector through our first Open Data Day celebration! Bringing Together the Pieces of
*Please see here for our updated post and special recognitions!* March 6th, 2021 is International Open Data Day, an opportunity to promote awareness and use
In January, 2021, the WPDx Working Group voted to approve the addition of three new parameters, plus some minor edits and clarifications to the WPDx Data Standard.