A wholesaler is preparing to stock up for new shoe releases. To reduce the risk of having unsold stocks, purchasing decisions will be dictated by the number of shoes that will be sold in a week and the probability of selling at least 95% of the inventory in a month. These metrics will be forecasted by a model trained on several related time-series datasets of similar shoes. Which machine learning algorithm will MOST likely produce the most reliable forecasts?