Bibliographic citations
Chipa, R., (2023). Modelo de regresión para el pronóstico de la cantidad de denuncias por delitos que se registran en las Comisarías de la Policía Nacional de Perú en Lima Metropolitana [Pontificia Universidad Católica del Perú]. http://hdl.handle.net/20.500.12404/25821
Chipa, R., Modelo de regresión para el pronóstico de la cantidad de denuncias por delitos que se registran en las Comisarías de la Policía Nacional de Perú en Lima Metropolitana []. PE: Pontificia Universidad Católica del Perú; 2023. http://hdl.handle.net/20.500.12404/25821
@mastersthesis{sunedu/3584255,
title = "Modelo de regresión para el pronóstico de la cantidad de denuncias por delitos que se registran en las Comisarías de la Policía Nacional de Perú en Lima Metropolitana",
author = "Chipa Sierra, Roger",
publisher = "Pontificia Universidad Católica del Perú",
year = "2023"
}
In our country, the average number of complaints for crimes on a monthly basis in 2019 presents 30,000 cases, which has been increasing over the years, so it is of crucial importance to generate citizen security strategies that help to improve the well-being of Peruvian society, for this it is crucial to have reliable and quality information for decision-making; likewise, it has a Police Information and Communication Technologies Directorate (DIRTIC), which within its structure has in charge of the Statistics Division (DIVEST) and the Information Technology Division (DIVINFOR), whose function is to control the Police Complaints System in which 80 % of the Peruvian National Police stations are interconnected and there are 20 % that are not interconnected, for which reason 20 % of police stations do not record information in the Police Complaints System, generating uncertainty for decision-making. It is for this reason that the Statistics Division (DIVEST) proposes a model for forecasting the number of complaints for crimes that are registered in the Peruvian National Police stations in Metropolitan Lima, based on the RANDOM FOREST regression technique. REGRESOR AND REGRESSION DECISION TREE, with which it will be possible to know which of the two techniques generates a better prognosis based on the information that comes from SIDPOL and INEI.
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