Prediction the results of expert evaluation of points of sale using a neural network

The features space of expert evaluation of sales points is formed on the basis of aggregated data. A hypothetical formula for parameter estimation is introduced and an example of mapping the feature space to the expert evaluation space is given. The adaptive algorithm of big data processing is developed, the neural network is designed and optimized, the model providing the prediction with an absolute average error of 0,448 is trained.