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Technical Report | Financial Engineering | Volume 13 Issue 4, April 2024 | Pages: 1932 - 1943 | India
Random Forest Classifier to Predict Financial Data
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
How to Cite?: Aumkar Wagle, "Random Forest Classifier to Predict Financial Data", Volume 13 Issue 4, April 2024, International Journal of Science and Research (IJSR), Pages: 1932-1943, https://www.ijsr.net/getabstract.php?paperid=SR24418155701, DOI: https://dx.dx.doi.org/10.21275/SR24418155701