Machine Learning-Based Prediction Model

EasyChair Preprint 14367

Abstract

The advent of machine learning (ML) has revolutionized predictive analytics across various domains by enhancing the accuracy and efficiency of forecasting models. This abstract presents a comprehensive overview of a machine learning-based prediction model designed to improve forecasting accuracy in dynamic environments. The model leverages advanced ML algorithms to analyze historical data, identify patterns, and make informed predictions about future events or trends.

Keyphrases: Dynamic Environments, Forecasting, Model Accuracy., cross-validation, data analysis, machine learning, prediction model, supervised learning

@booklet{EasyChair:14367,
  author    = {John Owen},
  title     = {Machine Learning-Based Prediction Model},
  howpublished = {EasyChair Preprint 14367},
  year      = {EasyChair, 2024}}