Prediction evaluation metrics - Relative Error
I am doing prediction process with SVR and as evaluation metrics I am getting Relative Error (RE)= 42.25% , is it acceptable?
Note : I have > 50k instances in my dataset.
Thanks.
regression prediction metrics evaluation rapidminer
asked Nov 15 '18 at 11:29
Azza OusjiAzza Ousji
163
add a comment |
I am doing prediction process with SVR and as evaluation metrics I am getting Relative Error (RE)= 42.25% , is it acceptable?
Note : I have > 50k instances in my dataset.
Thanks.
regression prediction metrics evaluation rapidminer
asked Nov 15 '18 at 11:29
Azza OusjiAzza Ousji
163
Is this the mean percent error, the median percent error, the sum of the percent errors, the standard deviation of percent error - that is, what does the 42.25% represent?
– James Phillips
Nov 15 '18 at 12:03
In fact I am not so familiar with the evaluation metrics and I can't differentiate them or interpret them. Using rapid miner the performance operator gives several criterion (ex: RMSE, AE, NAE, RE..) here are what I am getting if you can help : root_mean_squared_error: 55.174 +/- 0.000 absolute_error: 34.705 +/- 42.892 relative_error: 29.31% +/- 90.71% relative_error_lenient: 20.92% +/- 20.02% relative_error_strict: 42.25% +/- 96.76% normalized_absolute_error: 0.821 root_relative_squared_error: 1.063 squared_error: 3044.205 +/- 5279.004 prediction_average: 121.270 +/- 51.884
– Azza Ousji
Nov 15 '18 at 12:32
What software are you using?
– James Phillips
Nov 15 '18 at 14:06
I amusing RapidMiner
– Azza Ousji
Nov 15 '18 at 14:10
add a comment |
I am doing prediction process with SVR and as evaluation metrics I am getting Relative Error (RE)= 42.25% , is it acceptable?
Note : I have > 50k instances in my dataset.
Thanks.
regression prediction metrics evaluation rapidminer
asked Nov 15 '18 at 11:29
Azza OusjiAzza Ousji
163
I am doing prediction process with SVR and as evaluation metrics I am getting Relative Error (RE)= 42.25% , is it acceptable?
Note : I have > 50k instances in my dataset.
Thanks.
regression prediction metrics evaluation rapidminer
regression prediction metrics evaluation rapidminer
asked Nov 15 '18 at 11:29
Azza OusjiAzza Ousji
163
asked Nov 15 '18 at 11:29
Azza OusjiAzza Ousji
163
edited Nov 15 '18 at 12:42
Azza Ousji
asked Nov 15 '18 at 11:29
Azza OusjiAzza Ousji
163
asked Nov 15 '18 at 11:29
Azza OusjiAzza Ousji
163
asked Nov 15 '18 at 11:29
Azza OusjiAzza Ousji
163
163
Is this the mean percent error, the median percent error, the sum of the percent errors, the standard deviation of percent error - that is, what does the 42.25% represent?
– James Phillips
Nov 15 '18 at 12:03
In fact I am not so familiar with the evaluation metrics and I can't differentiate them or interpret them. Using rapid miner the performance operator gives several criterion (ex: RMSE, AE, NAE, RE..) here are what I am getting if you can help : root_mean_squared_error: 55.174 +/- 0.000 absolute_error: 34.705 +/- 42.892 relative_error: 29.31% +/- 90.71% relative_error_lenient: 20.92% +/- 20.02% relative_error_strict: 42.25% +/- 96.76% normalized_absolute_error: 0.821 root_relative_squared_error: 1.063 squared_error: 3044.205 +/- 5279.004 prediction_average: 121.270 +/- 51.884
– Azza Ousji
Nov 15 '18 at 12:32
What software are you using?
– James Phillips
Nov 15 '18 at 14:06
I amusing RapidMiner
– Azza Ousji
Nov 15 '18 at 14:10
add a comment |
Is this the mean percent error, the median percent error, the sum of the percent errors, the standard deviation of percent error - that is, what does the 42.25% represent?
– James Phillips
Nov 15 '18 at 12:03
In fact I am not so familiar with the evaluation metrics and I can't differentiate them or interpret them. Using rapid miner the performance operator gives several criterion (ex: RMSE, AE, NAE, RE..) here are what I am getting if you can help : root_mean_squared_error: 55.174 +/- 0.000 absolute_error: 34.705 +/- 42.892 relative_error: 29.31% +/- 90.71% relative_error_lenient: 20.92% +/- 20.02% relative_error_strict: 42.25% +/- 96.76% normalized_absolute_error: 0.821 root_relative_squared_error: 1.063 squared_error: 3044.205 +/- 5279.004 prediction_average: 121.270 +/- 51.884
– Azza Ousji
Nov 15 '18 at 12:32
What software are you using?
– James Phillips
Nov 15 '18 at 14:06
I amusing RapidMiner
– Azza Ousji
Nov 15 '18 at 14:10
Is this the mean percent error, the median percent error, the sum of the percent errors, the standard deviation of percent error - that is, what does the 42.25% represent?
– James Phillips
Nov 15 '18 at 12:03
Is this the mean percent error, the median percent error, the sum of the percent errors, the standard deviation of percent error - that is, what does the 42.25% represent?
– James Phillips
Nov 15 '18 at 12:03
In fact I am not so familiar with the evaluation metrics and I can't differentiate them or interpret them. Using rapid miner the performance operator gives several criterion (ex: RMSE, AE, NAE, RE..) here are what I am getting if you can help : root_mean_squared_error: 55.174 +/- 0.000 absolute_error: 34.705 +/- 42.892 relative_error: 29.31% +/- 90.71% relative_error_lenient: 20.92% +/- 20.02% relative_error_strict: 42.25% +/- 96.76% normalized_absolute_error: 0.821 root_relative_squared_error: 1.063 squared_error: 3044.205 +/- 5279.004 prediction_average: 121.270 +/- 51.884
– Azza Ousji
Nov 15 '18 at 12:32
In fact I am not so familiar with the evaluation metrics and I can't differentiate them or interpret them. Using rapid miner the performance operator gives several criterion (ex: RMSE, AE, NAE, RE..) here are what I am getting if you can help : root_mean_squared_error: 55.174 +/- 0.000 absolute_error: 34.705 +/- 42.892 relative_error: 29.31% +/- 90.71% relative_error_lenient: 20.92% +/- 20.02% relative_error_strict: 42.25% +/- 96.76% normalized_absolute_error: 0.821 root_relative_squared_error: 1.063 squared_error: 3044.205 +/- 5279.004 prediction_average: 121.270 +/- 51.884
– Azza Ousji
Nov 15 '18 at 12:32
What software are you using?
– James Phillips
Nov 15 '18 at 14:06
What software are you using?
– James Phillips
Nov 15 '18 at 14:06
I amusing RapidMiner
– Azza Ousji
Nov 15 '18 at 14:10
I amusing RapidMiner
– Azza Ousji
Nov 15 '18 at 14:10
add a comment |
1 Answer
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oldest
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As always when judging the quality of a model: it depends. It depends on your data, on your goal, on your "costs" for errors...
What you can see from your different metrics is mainly, that you have a huge variance in performance throughout your predictions. So a relative error of ~42% is meaningless, if you consider the +/-97% variance.
Looking at your absolute error, you miss your goal by ~35 "units" on average, but with a variance of +/-43.
For me, all these metrics scream "we're not dependable", which in turn points to an unsuitable model.
answered Nov 15 '18 at 13:06
Christian KönigChristian König
2,5591120
Fair enough, thanks
– Azza Ousji
Nov 15 '18 at 14:11
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
As always when judging the quality of a model: it depends. It depends on your data, on your goal, on your "costs" for errors...
What you can see from your different metrics is mainly, that you have a huge variance in performance throughout your predictions. So a relative error of ~42% is meaningless, if you consider the +/-97% variance.
Looking at your absolute error, you miss your goal by ~35 "units" on average, but with a variance of +/-43.
For me, all these metrics scream "we're not dependable", which in turn points to an unsuitable model.
answered Nov 15 '18 at 13:06
Christian KönigChristian König
2,5591120
Fair enough, thanks
– Azza Ousji
Nov 15 '18 at 14:11
add a comment |
As always when judging the quality of a model: it depends. It depends on your data, on your goal, on your "costs" for errors...
What you can see from your different metrics is mainly, that you have a huge variance in performance throughout your predictions. So a relative error of ~42% is meaningless, if you consider the +/-97% variance.
Looking at your absolute error, you miss your goal by ~35 "units" on average, but with a variance of +/-43.
For me, all these metrics scream "we're not dependable", which in turn points to an unsuitable model.
answered Nov 15 '18 at 13:06
Christian KönigChristian König
2,5591120
Fair enough, thanks
– Azza Ousji
Nov 15 '18 at 14:11
add a comment |
As always when judging the quality of a model: it depends. It depends on your data, on your goal, on your "costs" for errors...
What you can see from your different metrics is mainly, that you have a huge variance in performance throughout your predictions. So a relative error of ~42% is meaningless, if you consider the +/-97% variance.
Looking at your absolute error, you miss your goal by ~35 "units" on average, but with a variance of +/-43.
For me, all these metrics scream "we're not dependable", which in turn points to an unsuitable model.
answered Nov 15 '18 at 13:06
Christian KönigChristian König
2,5591120
As always when judging the quality of a model: it depends. It depends on your data, on your goal, on your "costs" for errors...
What you can see from your different metrics is mainly, that you have a huge variance in performance throughout your predictions. So a relative error of ~42% is meaningless, if you consider the +/-97% variance.
Looking at your absolute error, you miss your goal by ~35 "units" on average, but with a variance of +/-43.
For me, all these metrics scream "we're not dependable", which in turn points to an unsuitable model.
answered Nov 15 '18 at 13:06
Christian KönigChristian König
2,5591120
answered Nov 15 '18 at 13:06
Christian KönigChristian König
2,5591120
answered Nov 15 '18 at 13:06
Christian KönigChristian König
2,5591120
answered Nov 15 '18 at 13:06
Christian KönigChristian König
2,5591120
2,5591120
Fair enough, thanks
– Azza Ousji
Nov 15 '18 at 14:11
add a comment |
Fair enough, thanks
– Azza Ousji
Nov 15 '18 at 14:11
Fair enough, thanks
– Azza Ousji
Nov 15 '18 at 14:11
Fair enough, thanks
– Azza Ousji
Nov 15 '18 at 14:11
add a comment |
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Is this the mean percent error, the median percent error, the sum of the percent errors, the standard deviation of percent error - that is, what does the 42.25% represent?
– James Phillips
Nov 15 '18 at 12:03
In fact I am not so familiar with the evaluation metrics and I can't differentiate them or interpret them. Using rapid miner the performance operator gives several criterion (ex: RMSE, AE, NAE, RE..) here are what I am getting if you can help : root_mean_squared_error: 55.174 +/- 0.000 absolute_error: 34.705 +/- 42.892 relative_error: 29.31% +/- 90.71% relative_error_lenient: 20.92% +/- 20.02% relative_error_strict: 42.25% +/- 96.76% normalized_absolute_error: 0.821 root_relative_squared_error: 1.063 squared_error: 3044.205 +/- 5279.004 prediction_average: 121.270 +/- 51.884
– Azza Ousji
Nov 15 '18 at 12:32
What software are you using?
– James Phillips
Nov 15 '18 at 14:06
I amusing RapidMiner
– Azza Ousji
Nov 15 '18 at 14:10