Diabetes prediction using optimized machine learning algorithms with grid search and Bayesian optimization. by Muhammad Rizwan Khurshid (20613973)

Framework of the machine learning algorithm for single-family housing price. by Jaewon Han (8660295)

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The algorithm of the applied models. by Elif Tuçe Bal (21367965)

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Filtered Labels after applying the data preparation algorithms. by Tanjim Taharat Aurpa (11250554)

PFC value of algorithms on two datasets. by Xing Chen (140292)

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Comparison of ROC curve between deep learning and 12 handcrafted features using four machine learning algorithms. by Rui-Si Hu (5337227)

Comparative results with existing representative algorithms. by Yan Qin (118276)

Receiver operator characteristic (ROC) curves of the machine learning algorithms. by Yue Lv (549862)

Frameworks: Infrastructure for Political and Social Event Data Using Machine Learning by Javier Osorio (21782588)

Algorithm of model development and validation. by Bethan Cracknell Daniels (20469396)

Optimization algorithms performance comparison across benchmark functions. by Sundreen Asad Kamal (20390818)

Comparison of federated learning algorithms. by Duy-Dong Le (22057362)

Prediction percentage distribution using different algorithms applied in our research. by Md Junayed Hossain (22615268)

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Features selection using the Boruta algorithm. by Nishat Tasnim Thity (21755858)

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Development of the CO₂ Adsorption Model on Porous Adsorbent Materials Using Machine Learning Algorithms by Hossein Mashhadimoslem (11456548)

“…Different machine learning (ML) algorithms, such as NN, MLP-GWO, XGBoost, RF, DT, and SVM, have been applied to display the CO₂ adsorption performance as a function of characteristics and adsorption isotherm parameters. …”

Data Sheet 1_Exploring immune-inflammation markers in psoriasis prediction using advanced machine learning algorithms.pdf by Li Yang (6520)

“…Subsequently, nine classification algorithms were developed using the processed training set, including random forest, neural networks, XGBoost, k-nearest neighbors, gradient boosting, logistic regression, naïve Bayes, AdaBoost, and SVMs. …”

Predictive performance of algorithms for multiclass classification by serogroup of bacterial meningitis: weighted average per algorithm (AUC-ROC). by Audêncio Victor (10400699)

Grid positions of biclusters across three datasets for used biclustering algorithms. by Muhammad Waqar (500788)

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Feature selection using Boruta algorithm. by Shayla Naznin (13014015)

“…</p><p>Methods</p><p>Multiple machine learning (ML) algorithms were applied to data from the 2022 Bangladesh Demographic Health Survey, including Random Forest, Decision Tree, K-Nearest Neighbors, Logistic Regression, Support Vector Machine, XGBoost, LightGBM and Neural Networks. …”

Baseline characteristics of recipients’ comparison before and after data match by the unsupervised machine learning algorithm. by Mahmoudreza Moein (22127153)

“…<p>Baseline characteristics of recipients’ comparison before and after data match by the unsupervised machine learning algorithm.…”