The Snow Day Predictor is a computer algorithm that is designed to predict the likelihood of a school closing due to bad weather. It uses a variety of criteria to assess the risk, including temperature, precipitation amounts, wind chill, snowfall amounts, and even ice accumulation. It then produces a numerical score that indicates the likelihood of a school closure.
A school's
Snow Day Predictor score will vary depending on the weather conditions in its area. For example, a school in an area with heavy snowfall and strong winds will likely have a higher score than a school in an area that is mostly sunny and dry.
So how accurate is the Snow Day Predictor in predicting school closures? To date, the tool has been tested in several school districts across the country and has been found to be generally accurate in predicting school closures. In most cases, the accuracy rate has been found to be around 80-90 percent.
