Machine Learning, Generalization, Regularization, Overfitting, Bias.
model seems to have captured random noise or outliers. Like high bias and underfitting, high variance and overfitting are related as well but are still not totally equivalent in meaning. See below. Overfitting At some point during the training of a model, the validation loss usually levels out (and