What would be the good metrics then? Of course metrics are just indicators that can be interpreted incorrectly. Still, we have to measure something tangible. Wh

What would be the good metrics then? Of course metrics are just indicators that can be interpreted incorrectly. Still, we have to measure something tangible. What would you propose? I am aware of limitations and would gladly use something better... Some people mention Matthews correlation coefficients, Youden's J statistic, Cohen's kappa etc. but I haven't seen them in any Deep Learning paper so far and I bet they have large blindspots as well.