Open AccessPredictive Analysis of Taxi Fare using Machine Learning
Author(s) -
Pallab Banerjee,
Biresh Kumar,
Amarnath Singh,
Priyeta Ranjan,
Kunal Soni
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit2062108
Subject(s) - computer science , artificial intelligence , machine learning , regression analysis , supervised learning , value (mathematics) , base (topology) , artificial neural network , mathematics , mathematical analysis
This research aims to study the predictive analysis, which is a method of analysis in Machine Learning. Many companies like Ola, Uber etc uses Artificial Intelligence and machine learning technologies to find the solution of accurate fare prediction problem. We are proposing this paper after comparative analysis of algorithms like regression and classification, which are useful for prediction modeling to get the most accurate value. This research will be helpful to those, who are involved in fare forecasting. In previous era, the fare was only dependent on distance, but with the enhancement in technologies the cab’s fare is dependent on a lot of factors like time, location, number of passengers, traffic, number of hours, base fare etc. The study is based on Supervised learning whose one application is prediction, in machine learning.