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Integrating LSTM and Clustering SVM For Enhanced Stock Price Prediction by aishuakkilam is a document available to read on EtoBox.

What is Integrating LSTM and Clustering SVM For Enhanced Stock Price Prediction about?

The study presents a hybrid model combining Long Short-Term Memory (LSTM) networks and clustering Support Vector Machine (SVM) to enhance stock price prediction accuracy. Utilizing historical NVIDIA stock data, the model significantly reduces mean squared error (MSE) and improves precision, recall, and F1-score metrics compared to standalone LSTM models. This approach offers valuable insights for investors by effectively adapting to various market conditions and improving forecasting capabilities.

Author

aishuakkilam

Language

EN