model averaging

Model averaging is a technique used to improve predictions by combining the outputs of multiple models instead of relying on just one. Each model may have its strengths and weaknesses, so averaging their predictions can reduce errors and enhance accuracy. Think of it like getting opinions from several experts: by considering different viewpoints, you’re more likely to arrive at a well-rounded conclusion. In practice, this means that if one model performs poorly in a specific scenario, others can compensate, leading to more reliable results overall.