What determines how heavily a feature (such as number of bedrooms in a house) affects the result of the ML model?

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.
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