Machine Learning, Linear Regression, Ridge Regression, Lasso Regression, Genomics.
data. Overfitting is the contrary, the model learns and adapts itself to the training data and learn dependencies among data but also some random fluctuations. Generally, the model is too complex. You notice that it has perfect R2 with known data, but poor with unseen data. In concrete, your model