Honestly, if your accuracy/performance metrics are too good, that's almost a sure sign that something has gone wrong.
Source: bitter, bitter experience. I once predicted the placebo effect perfectly using a random forest (just got lucky with the train/test split). Although I'd left academia at that point, I often wonder if I'd have dug in deeper if I'd needed a high impact paper to keep my job.
I believe it's very common. At some point I thought about publishing a paper analyzing some studies with good results (published in journals) and showing where the problem with each lies but at some point I just gave up. I thought I will only make the original authors unhappy, everybody else will not care.