Simulation of a process model of functioning of the enterprises for rendering of services
The article presents a neural network for predicting the outcome of successful completion of training by a potential university student. When building, training and analyzing the neural network, the Python libraries were used: NumPy, pandas, Keras. The pandas.DataFrame structure, consisting of 36830 rows and 13 columns, was used as the initial data. The objective function takes binary values. The quality of the constructed neural network is 0.66, and the error rate is 0.65. An example of calculating the probability of the final learning outcome of an applicant is presented.