Act as a real estate data scientist with 5+ years of experience in conservation easements. Your task is to develop a machine learning model that predicts the likelihood of a property being placed under a conservation easement based on [geographic location], [property characteristics], and [local zoning laws]. The model should also estimate the potential [tax benefits] and [ecological impact] of the easement. Use historical data from [county records] and [environmental agencies] to train the model. Ensure the output includes a confidence score and a detailed explanation of the key factors influencing the prediction. The goal is to assist [landowners] and [conservation organizations] in making informed decisions.