Matt Hall

I agree, a good suggestion. For most models, it wouldn't take much for me to implement this, and usually the model instantiation is separate enough from the CV workflow that...

OK, here's a description of 100 realizations for the current **HouMath** model:   Median: 0.619 So it looks like, indeed, my lazy 'method' was rather favourable. In my defence,...

Result from @ar4's submission: 

@bestagini Ah yes, of course that property of the 'unreproducible' results is dealt with here... I was thinking they'd be a problem but obviously that's the whole point: we're fixing...

Here's geoLEARN's result:  cc @Antoine-Cate @lperozzi @mablou Rather than soaking up this thread, maybe I'll just start putting the validation scores (all realizations) into another folder, so everyone can...

@ar4 Just to be clear: I'm just getting the results from 100 seeds, and averaging the scores those results achieve. So there's no optimization going on. You probably got this,...

By the way everyone, the results from realizations are now in [the Stochastic_validations directory](https://github.com/seg/2016-ml-contest/tree/master/Stochastic_validations).

I ran it again where I keep the same loop, but give the PE generator `seed+100`. So it's not the same as the latin square arrangement you were thinking of,...

FYI all, this is the stochastic result of the new leader, SHandPR: 

It looks like you're trying to push to the SEG repo. You should push to your own fork, then make pull request. Do `git branch -a` to check which branch...