Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
forest regression » process regression (Expand Search), ols regression (Expand Search)
effects decrease » effects decreased (Expand Search), effects regress (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
forest regression » process regression (Expand Search), ols regression (Expand Search)
effects decrease » effects decreased (Expand Search), effects regress (Expand Search)
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Confusion matrix of random forest model.
Published 2025“…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”
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The primer sequence used in this study.
Published 2025“…Through LASSO and random forest analyses, ACADM, ANGPTL4, and NFKB2 were identified and subsequently incorporated into a multivariate Cox regression model. …”
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The tumor volume (mm<sup>3</sup>) of the mice in each group.
Published 2025“…Through LASSO and random forest analyses, ACADM, ANGPTL4, and NFKB2 were identified and subsequently incorporated into a multivariate Cox regression model. …”