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Exact(48)
The precision of the models was determined by the determination coefficient (R).
The accuracy of the models was determined by the coefficient of determination (R 2 ).
The quality of the models was determined
The appropriate architecture of the neural network models was determined through several steps of training and testing of the models.
The most suitable model amongst all six models was determined based on likelihood ratio tests for each trait.
The appropriate architecture of the neural network models was determined using several steps of training and testing of the models.
Similar(12)
The models were determined by process identification.
Consensus gene models were determined by EVM66, and these models were then updated with PASA assembly alignments.
The most suitable demographic and clock models were determined by Bayes factors calculated from the marginal likelihoods37.
Parameters of both models were determined by least squares method.
The requirements for experimental distinction of the models are determined.
More suggestions(15)
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specimens was determined
samples was determined
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modelling was determined
template was determined
kind was determined
later was determined
models was observed
models was rejected
models was cancelled
models was evaluated
models was fitted
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CEO of Professional Science Editing for Scientists @ prosciediting.com