The specific factors that the snow day predictor considers may vary depending on the algorithm used, but typically include a combination of weather data, such as temperature, precipitation type and intensity, wind speed and direction, humidity, and barometric pressure. The predictor may also take into account other factors, such as the time of day and the likelihood of school closures based on historical data. Some snow day predictors may also consider other factors, such as the type of school or school district and their policies on school closures. Ultimately, the snow day predictor uses complex algorithms to analyze and interpret this data and make a prediction about the likelihood of a snow day or school closure based on the current and forecasted weather conditions.