TRAINING METHOD FOR THUNDERSTORM WEATHER PREDICTION MODEL, AND THUNDERSTORM WEATHER PREDICTION METHOD

摘要

Disclosed in the present application is a training method for a thunderstorm weather prediction model, comprising: obtaining a plurality of groups of data, wherein each group of data comprises thunderstorm weather, a plurality of features of the thunderstorm weather, and an association relation between the thunderstorm weather and the plurality of features of the thunderstorm weather; obtaining a target feature from the plurality of features of the plurality of groups of data by means of screening, wherein the target feature is a feature the first feature importance of which satisfies a first predetermined condition; in each group of data of the plurality of groups of data, removing features irrelevant to the target feature to form a plurality of groups of training data; and training a predetermined algorithm by using the plurality of groups of training data to obtain a thunderstorm weather prediction model. The present application further provides a thunderstorm weather prediction method, a training apparatus for a thunderstorm weather prediction model, a thunderstorm weather prediction apparatus, a computer device, and a computer readable storage medium.