Reviewing ML papers? 💡
If you feel that experiments are missing, ask yourself: are the additional results likely to affect the central message of the paper/nullify its main claims? If not, it's probably a nice suggestion (eg additional comparisons, datasets) but not a reason for rejection by itself.