Thank you all for the comments!
@Calico Yes I was applying a loading, however same method for all models… simply multiplying by 1.15.
@simon_coulombe I’ll keep working on this, but so far, I’m seeing an average loss ratio of 120% when there’s absolutely no loading. Probably sensitive to the number of models in compete? To be continued.
@alfarzan First time I’m hearing this kitchen-sink nomenclature. Funny. Will look into your suggestion. Didn’t think of creating bad model on purpose.
@tom_snowdon Thanks for the suggestion, and results are below…
Disclosure
To produce the charts earlier, I left R and went into Excel…
…and I got fooled by Excel’s =rank() function…
Did you know Microsoft decided on returning a decreasing order by default?!. 
Now I know, and so do you.
Some of the charts were (very) wrong, sorry for that.
Profit (same as before)
RMSE, MAE revisited, and GINI 
Added standard-deviation row-wise, and the average of the stds.
Gini seems much more sensitive to the seed than the other two metrics.
@tom_snowdon what’s your take on that?
Correlations
Some Thoughts
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With the fixed chart, Model L is safe from my relentless bashing.
It’s just an overall poor model. -
Still looking for a metric that could be better correlated with profit. Open to suggestions!
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The previous erroneous chart did influence my decision for this week leaderboard.
Scored 99th position lol.
Thanks Microsoft.