Random Forest and Gradient Boosting algorithms. by Yvan J. Garcia-Lopez (20783591)

XGBoost odor prediction model: finding the structure-odor relationship of odorant molecules using the extreme gradient boosting algorithm by Pankaj Tyagi (20147683)

DataSheet1_Study on risk factors of impaired fasting glucose and development of a prediction model based on Extreme Gradient Boosting algorithm.docx by Qiyuan Cui (19729288)

Image 1_A novel cross-validated machine learning based Alertix-Cancer Risk Index for early detection of canine malignancies.jpg by Hanan Sharif (11492534)

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Table 1_A novel cross-validated machine learning based Alertix-Cancer Risk Index for early detection of canine malignancies.docx by Hanan Sharif (11492534)

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ROC plots were obtained for a) Logistic, b) K-Nearest Neighbours, c) Support Vector, d) Stochastic Gradient Descent, e) Decision Tree, f) Random Forest, g) AdaBoost, h) Gradient Boosting and i) Stochastic Gradient Boosting algorithms. by Akshansh Mishra (21001499)

“…<p>ROC plots were obtained for a) Logistic, b) K-Nearest Neighbours, c) Support Vector, d) Stochastic Gradient Descent, e) Decision Tree, f) Random Forest, g) AdaBoost, h) Gradient Boosting and i) Stochastic Gradient Boosting algorithms.</p>…”

Confusion matrix plots obtained for a) Logistic, b) K-Nearest Neighbours, c) Support Vector, d) Stochastic Gradient Descent, e) Decision Tree, f) Random Forest, g) AdaBoost, h) Gradient Boosting and i) Stochastic Gradient Boosting algorithms. by Akshansh Mishra (21001499)

“…<p>Confusion matrix plots obtained for a) Logistic, b) K-Nearest Neighbours, c) Support Vector, d) Stochastic Gradient Descent, e) Decision Tree, f) Random Forest, g) AdaBoost, h) Gradient Boosting and i) Stochastic Gradient Boosting algorithms.</p>…”

XGBoost- and Mass Spectrometry-Based Feature Selection for Identifying Metabolic Biomarkers Associated with HBV-Related Liver Disease Progression and Hepatocellular Carcinoma Treat... by Shao-Hua Li (345353)

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Schematic of observation window and prediction tasks employed in the study. by Nowell M. Fine (13874645)

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5-fold cross-validation performance and statistical comparison between CatBoost and Logistic regression models. by Nowell M. Fine (13874645)

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Fig 4 - by Nowell M. Fine (13874645)

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Baseline characteristics and outcomes. by Nowell M. Fine (13874645)

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Flowchart describing samples sizes (index events) in the analysis cohort, used for training and for validating the models for each outcome, after applying the episode creation and... by Nowell M. Fine (13874645)

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Holdout evaluation of performance on holdout test set between CatBoost and Logistic regression models. by Nowell M. Fine (13874645)

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Fig 3 - by Nowell M. Fine (13874645)

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Top features associated with the primary endpoints of 30-day and 1-year heart failure (HF) Emergency Department (ED) visit, HF rehospitalization or death using CatBoost modeling. by Nowell M. Fine (13874645)

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Hybrid Transformer-Ensemble Approach for Detecting Hate Speech by Uzair Iftikhar (21899228)

“…This project uses a novel approach by combining the strengths of RoBERTa (a transformer model) and XGBoost (a gradient boosting algorithm). The hybrid model aims to improve classification performance in detecting hate speech across different datasets.…”

Table_1_Analyzing dissemination, quality, and reliability of Chinese brain tumor-related short videos on TikTok and Bilibili: a cross-sectional study.xlsx by Ren Zhang (305235)

“…An eXtreme Gradient Boosting algorithm was utilized to predict dissemination outcomes. …”

Table_2_Analyzing dissemination, quality, and reliability of Chinese brain tumor-related short videos on TikTok and Bilibili: a cross-sectional study.XLSX by Ren Zhang (305235)

“…An eXtreme Gradient Boosting algorithm was utilized to predict dissemination outcomes. …”

Table_3_Analyzing dissemination, quality, and reliability of Chinese brain tumor-related short videos on TikTok and Bilibili: a cross-sectional study.XLSX by Ren Zhang (305235)

“…An eXtreme Gradient Boosting algorithm was utilized to predict dissemination outcomes. …”