Abalone Age Prediction using Optimized Ensembel Model

Abalone is a protein structure that can be used to determine a person's age based on their bone composition. Predicting the age of the abalone will be pragmatic in determining when that organism possessed life. The primary objective of this work is to enable Scientists and Zoo Archaeologists to understand this concept in a deeper way. While utilizing the typical machine learning model in the research, we discovered that the results were unsatisfactory, thus we suggested an improved ensemble model that works with both lazy and eager machine learning algorithms. When comparing and validating the performance of the proposed model with that of traditional models, the result reveals that the new model is more accurate and was improved to 90.44%.