https://www.selleckchem.com/pr....oducts/5-chloro-2-de
The dataset was divided into training, validation, and test datasets, respectively, via a stratified ratio of 602020. The hyperparameters of the RF models were optimised through the grid search approach, in which the five-fold cross-validation technique was adopted. The optimised RF classifier performance was compared with the conventional TL-based CNN classifier performance. It was demonstrated from the study that the best TL model identified is the Inception ResNetV2 along with an optimised RF pipeline, as it was able
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