Decrease in loss during the training process. by Muhammad Idrees (92773)

List of network connections predictive of individual SoF values, together with their β weights, in decreasing order. by Yinan Xu (12440894)

“…<p>List of network connections predictive of individual SoF values, together with their β weights, in decreasing order.…”

Assessment values of machine learning models. by Bin Pan (742525)

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Median SHAP values (calculated for CSCHF at age 5000 days) for binary features in the competing risks RSF model for different disease categories. The features are sorted in decreasing order by absolute value for the cancer outcomes. by Eric Wang (30587)

“…The features are sorted in decreasing order by absolute value for the cancer outcomes.…”

The ROC curves and AUC values of the diagnostic model. by Zhe Wu (582498)

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The (A) logistic regression model (LRM) and (B) random forest model (RFM) with only conservation scores as independent variables (orange, yellow) show decreased model fitting metri... by Bushra Haque (20513785)

The MAE value of the model under raw data. by Xiangjuan Liu (618000)

“…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”

Comparison of actual vs predicted values after transfer. by Bin Pan (742525)

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P values of Kruskal–Wallis test at 95% significance level. by Fahd Saeed Alakbari (10701871)

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Sensor value scenario for average value algorithm. by Gourab Saha (8987405)

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Three error values under raw data. by Xiangjuan Liu (618000)

“…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”

TITAN decreaser diatom heatmap. by Brent J. Bellinger (21156150)

SHAP interpretation of the optimal machine learning model. by Wentao Yang (205781)

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Yearly crude rates normalized by their 1999 value. by Tony Wong (779773)

“…<p>Values below 1 indicate crude rate decreases relative to their 1999 value, those above 1 indicate increases. …”

Deep learning-based locomotive syndrome prediction method. by Junichi Kushioka (12236447)

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Architecture of Multi-Layer U-Net Model. by Muhammad Zubair (728141)

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XAI Saliency map visualization for the proposed model. by Muhammad Zubair (728141)

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Comprehensive evaluation of machine-learning models in the training cohort. by Wentao Yang (205781)

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Comparison of training and predicted values of compound water solubility for different machine learning models: (A) AdaBoost, (B) GBDT, (C) LGBM, (D) RF, (E) XGBoost, (F) RF, and (... by Bin Pan (742525)

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Proposed Multi-Layer U-Net model for gray matter segmentation. by Muhammad Zubair (728141)

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