Prediction stock market movement using decision tree and compare prediction accuracy with random forest

N. Meghana; S. S. Arumugam

doi:10.1063/5.0264634

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JOURNAL ARTICLE

Prediction stock market movement using decision tree and compare prediction accuracy with random forest

N. Meghana S. S. Arumugam

Year: 2025 Journal: AIP conference proceedings Vol: 3267 Pages: 020090-020090 Publisher: American Institute of Physics

DOI: 10.1063/5.0264634

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Keywords:

Random forest Decision tree Computer science Stock market Stock market prediction Artificial intelligence Econometrics Stock (firearms) Machine learning Data mining Statistics Mathematics Geography

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Smart Systems and Machine Learning

Physical Sciences → Computer Science → Computer Networks and Communications

Organizational and Employee Performance

Physical Sciences → Computer Science → Artificial Intelligence

Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Prediction stock market movement using decision tree and compare prediction accuracy with random forest

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