Random Forest Classifier to Predict Financial Data
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 3 | Views: 292 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Technical Report | Financial Engineering | India | Volume 13 Issue 4, April 2024 | Popularity: 4.6 / 10


     

Random Forest Classifier to Predict Financial Data

Aumkar Wagle


Abstract: Random Forest Classifier is a powerful machine learning algorithm widely utilized in the field of finance to predict uptrends and downtrends in financial data. By leveraging the collective wisdom of multiple decision trees, the Random Forest Classifier excels in handling complex datasets with numerous features and variables. This ensemble learning technique works by aggregating the predictions of individual decision trees to provide accurate and reliable classifications, making it a popular choice for financial analysts and traders seeking to forecast market movements and make informed investment decisions.


Keywords: Random Forest Classifier, machine learning


Edition: Volume 13 Issue 4, April 2024


Pages: 1932 - 1943


DOI: https://www.doi.org/10.21275/SR24418155701


Please Disable the Pop-Up Blocker of Web Browser

Verification Code will appear in 2 Seconds ... Wait



Text copied to Clipboard!
Aumkar Wagle, "Random Forest Classifier to Predict Financial Data", International Journal of Science and Research (IJSR), Volume 13 Issue 4, April 2024, pp. 1932-1943, https://www.ijsr.net/getabstract.php?paperid=SR24418155701, DOI: https://www.doi.org/10.21275/SR24418155701

Top