What determines how heavily a feature (such as number of bedrooms in a house) affects the result of the ML model?
answer
The correct answer is 1: the weight, or co-efficient. After going through the data, the machine learning algorithm assigns weights to each feature, and adjusts weights each time it makes another prediction.