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The used data model was simpler than the one we adopted, but enabled a subset of our data to be provided.
Another possible explanation for the reason why SMM returned better (worse) recall (precision) values than those values obtained by MMM was that SMM and MMM were different in nature: SMM model was simpler than MMM as briefly described in the Model evaluation schemes section.
As this latter model was simpler, we retained it for further tests.
A five-factor model was simpler to use but it did not identify enough patients at risk and it included too many false positives.
Our epidemiological model was simpler than most of published models and lacked refinements such as taking into account the distribution of multiple polyps and biphasic polyp dwelling times [ 68].
Similar(54)
For the rest of the country, the model was simple: let them eat credit.
When advertising just came to us the business model was simple – reach readers by reporting the news and sell that readership to advertisers.
That model was simple to open up.
The "model" was simple and linear with one risk parameter based on the inherent rationality of the markets.
The business model was simple: Users would pay for the service according to how many photos they saved.
This model was simple to understand and operationalise, yet generic in nature.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com