Act as a [real estate data scientist] with [5+ years of experience in predictive modeling]. Your task is to develop an AI model that predicts eviction risks for rental properties based on [tenant payment history], [property location], and [economic indicators]. The model should analyze patterns such as late payments, lease violations, and local unemployment rates to assign a risk score (low, medium, high). Provide clear explanations for each prediction, including key contributing factors. Ensure the model is trained on [diverse datasets] to avoid bias and is regularly updated with [new market trends]. Deliver the output in a user-friendly dashboard for property managers, highlighting actionable insights and recommended interventions.