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The first idea would be to add a fourth column besides obtained_..., expected_... and diff: relative change. It would print the relative error of the obtained, in relation with the expected. It would also change to use a sign on the error.
Example:
obtained_U_gas [m/s] expected_U_gas [m/s] abs. diff rel. diff (%)
E 1 0.00000526006928701 0.00092027745031029 -0.000915017381023 -99.428425711698500
E 2 0.00109742144185932 0.05314025093428264 -0.052042829492423 -97.934858374650000
E 3 0.10233425003713974 0.83767265449607820 -0.735338404458939 -87.783503557400900
E 4 1.50587844448218111 2.46949341632139818 -0.963614971839210 -39.020754842692900
E 5 3.85292939530965661 4.17226524036200175 -0.319335845052350 -7.653776225996680
E 6 6.48537098006507318 6.44999832744570334 0.035372652619370 0.548413361114436
E 7 10.33851199361759932 9.96422211906309130 0.374289874554410 3.756338127372090
E 8 15.91086496866478051 15.83790607275804696 0.072958895906700 0.460659986058339
E 9 28.43953100878306728 28.31184178336182455 0.127689225421200 0.451009956887510
Note: using rel_error_in_percent = (obtained - expected) / abs(expected) * 100. There may be other better equations.
How it is currently:
E obtained_U_gas [m/s] expected_U_gas [m/s] diff
E 1 0.00000526006928701 0.00092027745031029 0.00091501738102328
E 2 0.00109742144185932 0.05314025093428264 0.05204282949242332
E 3 0.10233425003713974 0.83767265449607820 0.73533840445893850
E 4 1.50587844448218111 2.46949341632139818 0.96361497183921707
E 5 3.85292939530965661 4.17226524036200175 0.31933584505234514
E 6 6.48537098006507318 6.44999832744570334 0.03537265261936984
E 7 10.33851199361759932 9.96422211906309130 0.37428987455450802
E 8 15.91086496866478051 15.83790607275804696 0.07295889590673355
E 9 28.43953100878306728 28.31184178336182455 0.12768922542124272
Add changes on statistical properties
Sometimes it maybe useful to only look at variations in statistical properties, so this could be added to the output:
obtained_U_gas [m/s] expected_U_gas [m/s] abs. diff rel. diff (%)
E 1 0.00000526006928701 0.00092027745031029 -0.000915017381023 -99.428425711698500
(...)
E 9 28.43953100878306728 28.31184178336182455 0.127689225421200 0.451009956887510
E min 0.000005260069287 0.000920277450310 -0.000915017381023 -99.428425711698500
E max 28.439531008783000 28.311841783361800 0.127689225421200 0.451009956887510
E avg 7.404058191385600 7.566384460243630 -0.162326268858032 -2.145361099623600
E std 9.582861811894490 9.369144876763070 0.213716935131419 2.281071943518240
I'll mention @tadeu here since he's the original author of this request 😃
The text was updated successfully, but these errors were encountered:
Nice! Perhaps abs. diff might be confusing, since it's not an absolute value anymore (as in "using abs()")? Could it be called obtained - expected?
Good idea about the statistical properties. avg might be misleading over possibly negative values, as it could be near 0.0 in a case with plenty of errors symmetrically distributed.
Add relative change, use sign on errors
The first idea would be to add a fourth column besides
obtained_...
,expected_...
anddiff
:relative change
. It would print the relative error of theobtained
, in relation with theexpected
. It would also change to use a sign on the error.Example:
Note: using
rel_error_in_percent = (obtained - expected) / abs(expected) * 100
. There may be other better equations.How it is currently:
Add changes on statistical properties
Sometimes it maybe useful to only look at variations in statistical properties, so this could be added to the output:
I'll mention @tadeu here since he's the original author of this request 😃
The text was updated successfully, but these errors were encountered: