Overcoming Challenges in Classification: Simplifying Feature Engineering and Streamlining Subsections

While certain classifiers demonstrate promising results, they often rely heavily on sophisticated feature engineering techniques. This intricate process can be time-consuming and require significant expertise. Furthermore, these classifiers often necessitate dividing the problem into multiple subsections, processing each separately, and then combining the results. This approach can be laborious and introduce potential errors during the aggregation stage. This article explores potential strategies to simplify feature engineering and streamline the handling of subsections, paving the way for more efficient and accurate classification models.