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during algorithm » routing algorithm (Expand Search), making algorithm (Expand Search), mining algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
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means algorithm » search algorithm (Expand Search)
predict means » predicted means (Expand Search), predict eas (Expand Search), predicted mean (Expand Search)
during algorithm » routing algorithm (Expand Search), making algorithm (Expand Search), mining algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
elements during » residents during (Expand Search)
means algorithm » search algorithm (Expand Search)
predict means » predicted means (Expand Search), predict eas (Expand Search), predicted mean (Expand Search)
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K-means++ clustering algorithm.
Published 2025“…Compared with MDA-RF, the prediction accuracy of the improved RF built on the same subset increased by 1.7%, indicating that improving the bootstrap sampling of random forest by using the K-means++ clustering algorithm can enhance model accuracy to some extent. …”
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Pseudo code.
Published 2025“…On the basis of the traditional quota formulation model based on statistical theory, artificial neural networks are introduced, and regularization techniques and particle swarm optimization algorithms are taken to optimize the model performance. …”
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Comparison results of prediction model with single algorithm and combination algorithm.
Published 2025Subjects: -
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Mean predicted relative risk for a) Sri Lanka and b) Bangladesh with the Random Forest algorithm.
Published 2025Subjects: -
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One-step prediction results for the trajectory prediction dataset with added noise.
Published 2025Subjects: -
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Pseudocode for the missForestPredict algorithm.
Published 2025“…This allows users to tailor the imputation to their specific needs. The missForestPredict algorithm is compared to mean/mode imputation, linear regression imputation, mice, k-nearest neighbours, bagging, miceRanger and IterativeImputer on eight simulated datasets with simulated missingness (48 scenarios) and eight large public datasets using different prediction models. missForestPredict provides competitive results in prediction settings within short computation times.…”
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