Assume we use classifiers from a countably finite model class F of $1000000$ classifiers. On a

dataset of $20$ i$.$i$.$d$.$ samples, we obtain an empirical risk $($i$.$e$.,$ training error$)$ of $0\mathrm{.}35.$

Would you recommend using this classifier or not? Assume we want to be certain with probability at least

$0\mathrm{.}99.$ Please answer $$Yes$$ or $$No$,$ and clearly explain why