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Models that are hierarchical across age groups, and particularly flexible ones, appear to perform poorly in hold out evaluation. This is somewhat surprising as models that are independent across age groups but otherwise flexible perform very well (which is not perhaps what would be expected if overfitting was the root cause). This may be attributable to a range of factors. To start exploring this potential options are:
Check in sample performance to understand possible overfitting
Check model formulation and model backend in epinowcast for issues.
Visualise and explore the observations in case
Potentially explore a hierarchical structure across locations rather than age groups to see if location differences are the key factor.
The text was updated successfully, but these errors were encountered:
Models that are hierarchical across age groups, and particularly flexible ones, appear to perform poorly in hold out evaluation. This is somewhat surprising as models that are independent across age groups but otherwise flexible perform very well (which is not perhaps what would be expected if overfitting was the root cause). This may be attributable to a range of factors. To start exploring this potential options are:
epinowcast
for issues.The text was updated successfully, but these errors were encountered: