US Patent 11216831 Predictive machine learning models

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and applying a machine learning model. One of the methods includes the actions of obtaining a plurality of data points associated with a parcel of real property; using a machine learning model to generate a prediction from the obtained plurality of data points, the prediction indicating a likelihood that the real property will satisfy a particular parameter, wherein the machine learning model is trained using a training set comprising a collection of data points associated with a labeled set of real property parcels distinct from the specified parcel of real property, the label indicating the particular parameter and corresponding value for each real property parcel of the training set; and based on the prediction, classifying the specified parcel of real property according to a determination of whether the predicted value of the parameter satisfies a threshold.