An ML engineer comes up with two different models for the same dataset. The performances of these two models on the training dataset and test dataset are as follows:

Model $1$: Training error $=0\mathrm{.}90\mathrm{.}9$; Test error $=0\mathrm{.}10\mathrm{.}1$

Model $2$: Training error $=0\mathrm{.}10\mathrm{.}1$; Test error $=1010$

Which model you would select?