Overfitting and Underfitting with a real-life example

overfitting  The overfitting phenomenon happens when a statistical machine learning model learns very well about the noise as well as the signal that is The simplest way to reduce overfitting is to increase the size of the training data In machine learning, it is hard to increase the data amount

Overfitting is a common problem in machine learning that occurs when a model becomes too aligned with the training data  Overfitting is a common problem in machine learning when a model is trained to fit the training data too closely and therefore, it performs

Overfitting เป็นปัญหาที่เกิดขึ้นเมื่อสถานการณ์ที่เกิดขึ้นเมื่อแบบจำลองทางสถิติหรือ Machine learning ทำงานได้ดี มีความแม่นยำสูง ทำนายแม่นกับ training data แต่ทำงานได้แย่ ไม่ What Is Overfitting? Overfitting is a machine learning behavior that occurs when the model is so closely aligned to the training data that it does not know how