학술논문
F1 Race Winner Predictor
Document Type
Conference
Author
Source
2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA) Computing, Communication, Control And Automation (ICCUBEA), 2023 7th International Conference On. :1-4 Aug, 2023
Subject
Language
ISSN
2771-1358
Abstract
With the help of machine learning, a winning Formula One (F1) race prediction model is what this project hopes to create. The model is trained using historical data from F1 races, such as lap times, sector times, qualification times, and information about the drivers and teams. To make the predictions we will be using Python and Support Vector Machines (SVM). The outcome of this initiative could be quite interesting for F1 fans and could influence wagering and other related activity. With this project we aim to create a machine-learning model that can forecast an F1 race winner based on a variety of inputs or display the effectiveness of SVMs by comparing predicted values and actual values.