Search alternatives:
significant reductions » significant reduction (Expand Search), significant predictors (Expand Search), significant variations (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
reductions decrease » reduction decreased (Expand Search)
significant reductions » significant reduction (Expand Search), significant predictors (Expand Search), significant variations (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
reductions decrease » reduction decreased (Expand Search)
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461
The MAE value of the model under raw data.
Published 2025“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”
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462
Three error values under raw data.
Published 2025“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”
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463
Decomposition of time scries plot.
Published 2025“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”
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Intercorrelation matrix of kindness, institutional identity, stress, and well-being.
Published 2024Subjects: -
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