Consider the following learning curves of two machine learning models. On the left, a learning curve of a Support Vector Machine classifier and on the right, a learning curve of a K$-$Nearest Neighbour classifier:

$1\mathrm{.}1\mathrm{.}1$ Which model would most probably provide better prediction results?

Motivate your answer in $1\mathrm{.}1\mathrm{.}1$ by explaining why the relevant model would provide better prediction results.