Number of repetitions prediction method and number of repetitions prediction device

A number of repetitions prediction method and number of repetitions prediction device are provided. The number of repetitions prediction method includes the following steps. A plurality of data sets respectively corresponding to a plurality of user equipments are obtained, and the data sets are dimension-reduce into a plurality of custom feature sets. The custom feature sets are divided into a training set and a test set, and a classification algorithm is used to determine a plurality of first transmittable samples from the training set. A grouping algorithm is used to group the first transmittable samples into a plurality of first groups, the first groups are respectively corresponding to a plurality of different number of repetitions, and the first groups are used to generate the number of repetitions prediction model.