You are developing a predictive model to determine the likelihood of rainfall on a specific day. Given the vast number of input features available, you aim to explore methods to enhance the training speed of your model by eliminating some of these features, while ensuring that the reduction has minimal impact on the model's accuracy. What strategies can you employ to achieve this?