Скачать или смотреть How Does Data Splitting Prevent Model Overfitting?

Understanding how to build robust machine learning models is crucial, and a key technique for achieving this is data splitting. This video breaks down why splitting your data into training and testing sets is not just good practice, but an essential defense against common pitfalls like overfitting.

In this video, you'll discover:
► The fundamental concept of data splitting and its role in model evaluation.
► How training and testing sets are used to simulate real-world performance.
► The critical link between proper data splitting and preventing model overfitting.
► Why an overfit model might perform well on known data but fail on new data.


#DataSplitting, #MachineLearning, #Overfitting, #AIDevelopment