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Look at performance by month #193

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jsadler2 opened this issue Feb 2, 2023 · 2 comments
Open

Look at performance by month #193

jsadler2 opened this issue Feb 2, 2023 · 2 comments

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@jsadler2
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jsadler2 commented Feb 2, 2023

I am curious to see how the models compare on month-wise basis.

It should be pretty straightforward to look at this.

@jsadler2
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jsadler2 commented Feb 7, 2023

Screenshot 2023-02-07 at 9 50 13 AM
Screenshot 2023-02-07 at 9 50 48 AM

Screenshot 2023-02-07 at 9 50 58 AM

jsadler2 added a commit to jsadler2/drb-do-ml that referenced this issue Feb 8, 2023
jsadler2 added a commit to jsadler2/drb-do-ml that referenced this issue Feb 8, 2023
Also made a new target to map over all PP types for simplicity
jsadler2 added a commit to jsadler2/drb-do-ml that referenced this issue Feb 8, 2023
@jsadler2
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jsadler2 commented Feb 8, 2023

One question that came up in our call yesterday was whether the really good replicate of the 2_multitask_dense model in the winter was the same as the really bad one in the summer:
217294203-6535e9ee-3acd-4e7d-bffa-3d00166b97df

I plotted just the 2_multitask_dense RMSE's and colored those by rep_id
2_monthly_performance

So, as you can see, the really good winter model is not the same as the really bad summer model for do_min.

One thing that did pop out to me, though, was that that green replicate (rep_id 2) is clearly the most accurate at predicting do_min, but it is nearly the worst at predicting do_max.

Here's another look at that (averaged across the months). It doesn't seem like that's always true though (i.e., the worst replicates for predicting do_max are not always the best at predicting do_min).
Screenshot 2023-02-08 at 12 11 50 PM

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