Overfitting in machine learning:Python code 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

Overfitting describes when a model becomes too sensitive to noise in its training set, leading it to not generalize, or to generalize poorly, to new data  overfitting Strictly speaking, overfitting applies to fitting a polynomial curve to data points where the polynomial suggests a more complex model than the