PREDICTING THE SALES OF CARS USING RANDOM FOREST ALGORITHM.

Several automobile industries are available in all over India. People usually buy the newest, latest model cars when it comes to the market, by selling or exchanging their old cars. These old cars will be resold if it is a good condition. The resold cars are known as 2nd/3rd hand cars accordingly to...

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Detalles Bibliográficos
Publicado en:Turkish Journal of Physiotherapy Rehabilitation Vol. 32; no. 2; pp. 1361 - 1365
Autores principales: T., DEVI, DEEPA, N.
Formato: research tables/charts Journal Article
Publicado: Turkish Journal of Physiotherapy & Rehabilitation 2021
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:Several automobile industries are available in all over India. People usually buy the newest, latest model cars when it comes to the market, by selling or exchanging their old cars. These old cars will be resold if it is a good condition. The resold cars are known as 2nd/3rd hand cars accordingly to the number of times it is being sold. To make this buying and selling of used cars easier without the help of a middleman or broker, ecommerce sites such as car dekho.com, cars24.com, olx.com, etc. These apps and websites provide the customers best price, and quality directly from the seller. The price of the cars is predicted through Artif icial Intelligence with the help of machine learning algorithm by checking the previous record of cars that are used along with the data utilized in selling. One of the significant technique in machine learning is random forest regression is employed in the proposed work for the purpose of predicting the car sales. Experimental result shows the algorithm is effective for prediction of dataset irrespective of the size, giving accurate result.