Amazon Stock Return Prediction using Explainable AI

Ezhilarasi. R  and Josephine Sutha. V

Amazon Stock Return Prediction using Explainable AI

Authors

Ezhilarasi. R and Josephine Sutha. V

Keywords:

Abstract

Predicting stock prices is a tough and challenging task nowadays due to its markets' volatileand complex nature. In this study, Random Forest machine regression model is used to predictdaily stock returns for Amazon (AMZN). For more understanding of the model, implemented SHAP (SHapley Additive exPlanations) and LIME

References

Goonatilake, R., & Dharmaratne, G. (2020). Stock Market Prediction Using Random Forest Classifier. International Journal of Advanced Computer Science and Applications.

Lundberg, S. M., & Lee, S. I. (2017). A Unified Approach to Interpreting Model Predictions. Advances in Neural Information Processing Systems, 30

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Published

2024-07-20

How to Cite

Ezhilarasi. R and Josephine Sutha. V. (2024). Amazon Stock Return Prediction using Explainable AI . Journal of Computational Analysis and Applications (JoCAAA), 33(07), 3565–3571. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5388