Optimization Analysis of Neural Network Algorithms Using Bagging Techniques on Classification of Date Fruit Types
Rully Pramudita, Solikin Solikin, Nadya Safitri · 2022 Seventh International Conference on Informatics and Computing (ICIC) · 2022
To perform an optimization One of the machine learning algorithms is by using Ensemble Learning. The main problem in this study is to increase the accuracy of the neural network algorithm in classifying data. This study aims to optimize the neural network algorithm in classifying. There are many optimization algorithms in classifying. In this study, we tried to optimize using the bagging technique for classification. This study uses types of dates as a case study. The results of the model evaluation show that the neural network algorithm plus the bagging technique produces an accuracy rate of 96%, and this has a higher accuracy of 1% compared to the neural network algorithm alone.