Overfitting ปัญหายอดฮิตของ Machine Learning

In mathematical modeling, overfitting is the production of an analysis that corresponds too closely or exactly to a particular set of data,

The study of overfitting is of great significance to reduce generalization error This paper proposes an innovative activation function called: modified-sigmoid

overfitting Overfitting occurs when an algorithm fits too closely to its training data, resulting in a model that can't make accurate predictions or conclusions

overfitting What is Overfitting? Overfitting happens when a machine learning model has become too attuned to the data on which it was trained and therefore loses its