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June/30/2009
Could you clarify the following on prediction errors.
Which error i should take for comparing the algorithms.
Last time you clarified that correlation coefficient cannot a parameter for selecting the best predicting algorithm.
Now if you compare the MLP vs RF MLP has low Absolute errors where as RF has lower squared errors.
Pl clarify which algorithm i should consider for my numeric prediction.
|
Description
|
MLP -4H
|
RF
|
|
Correlation
coefficient
|
0.247
|
0.535
|
|
Mean
absolute error
|
3.692
|
3.742
|
|
Root
mean squared error
|
4.915
|
4.6
|
|
Relative
absolute error
|
57.59
%
|
58.37%
|
|
Root
relative squared error
|
72.67
%
|
68.10%
|
Thanks in advance.
with warm regards
A.Ramakrishnan
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