Overfitting in Machine Learning and Computer Vision

overfitting Model overfitting is a notion that arises when the model learns too well the training data An ML algorithm is underfitting when it cannot capture the

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 One way to manage overfitting and underfitting is to use statistical validation methods, such as cross-validation and regularization Cross-