Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
classification model » classification _ (Expand Search), classification tasks (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
classification model » classification _ (Expand Search), classification tasks (Expand Search)
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Relationship between ordinal regression and binary classification performance.
Published 2025Subjects: -
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Model 1: All Variables for binary classification.
Published 2025“…RF achieved an average accuracy of 92.7% and an F1 score of 83.95% for binary classification, 90.36% and 90.1%, respectively, for the classification of three classes of severity of depression and 89.76% and 88.26%, respectively, for the classification of five classes. …”
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Confusion matrix of a binary classification model.
Published 2025“…<p>Confusion matrix of a binary classification model.</p>…”
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Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease)).
Published 2025“…<p>Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease)).…”
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Directional accuracy of DLSTM, LSTM, and binary classification models.
Published 2025“…<p>Directional accuracy of DLSTM, LSTM, and binary classification models.</p>…”
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Comparative performance of different models for binary cyclone classification.
Published 2025“…<p>Comparative performance of different models for binary cyclone classification.</p>…”
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SHAP feature importance for Model 1 (binary classification).
Published 2025“…<p>SHAP feature importance for Model 1 (binary classification).</p>…”