Abstract:

This study introduces a groundbreaking hybrid model that combines the K-Nearest Neighbors (KNN) approach with a probabilistic method to forecast stock price trends. A key challenge in KNN classification arises from the assumptions made by distance functions, particularly regarding the nearest neighbors positioned at the centroid of data points for test instances.

Description:

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