Introducing Model Bias and Variance

The Model Fitting Balancing Act

In a previous article we discussed the concepts of model underfitting and overfitting. Essentially these two concepts describe different ways that the model can fail to match your data set. Underfitting refers to making a model that is not complex enough to accurately represent the data and misses trends in the data set. Overfitting refers to a…