Overfitting, Underfitting, Bias Variance Tradeoff, Bias, Variance.
this model learns the training data extremely well. It may even memorize specific details of each person in the training set. However, when you introduce new data (person it hasn’t seen before), the predictions are all over the place. High Variance! Variance is when the model gets easily thrown off