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I have a real estate property dataset with the property attributes as independent variables and the asking price at which the property was valuated by a real estate agent as a dependent variable.

For the same property I have multiple assessments made by different agents, so my dataset has samples that are the same, except for the dependent variable.

I want to train a RandomForest model using this data, but without using the agent that made valuation as an input feature. Having multiple observations for the same property can be a problem when it comes to keeping the independence of each sample? If so, what are some of the possible solutions and workarounds?

Example of what the dataset looks like

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