👉 A lieprooflier is a type of machine learning model in which the model's predictions are based on a set of prior knowledge or assumptions. It is often used to make decisions about certain tasks, such as medical diagnoses or fraud detection. In layman's terms, a lieprooflier is like a detective who uses clues and evidence from previous cases to solve new ones. The key idea behind it is that the model can learn from past data points to make predictions based on its own knowledge and reasoning
