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The mean test AUC was again low (0.711), but the minimum training presence was higher (0.237).
A threshold of 0.160 was applied to the predictions based on the minimum training presence [11].
Overfitting also adds axes upon which an occupied locality might be judged less suitable, lowering the minimum training presence and in that way altering the geographic projection.
For example, the application of thresholds, such as minimum training presence, for geographic projections is contentious when applied to overfit models, but stable and relatively uncontroversial when applied to less complex models (e.g., AICc-MCP-90 versus AICc-MCP-86).
We followed Pyron et al.'s lead in using the least-probable training point likelihood ("minimum training presence") to set the threshold for discriminating suitable from non-suitable habitat.
The aggregate application of these four screening tools results in the retention of only two models (AICc-MCP-90, AICc-MCP-86), which were virtually identical in geographic projections, minimum training presence, and relative lack of overfitting.
Similar(41)
However, some of our MaxEnt models had shockingly low minimum training presences (Table 1).
In this respect it is notable that the AIC-constrained models exhibited minimum training presences that were high and nearly indistinguishable (6% change: 0.222 versus 0.237), whereas the same change in input for the Overfit-Global models produced a seven-fold difference (0.092 versus 0.013) in low minimum training presences.
I was amazed when I was told that minimum training standards have never been properly enforced.
The term is not legally defined and states do not require certification, minimum training or licensing.
Our company already has a minimum training standards in place.
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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