Table_4_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx حسب Mingjuan Zhou (12880019)

"…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …"

Table_2_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx حسب Mingjuan Zhou (12880019)

"…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …"

Table_6_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx حسب Mingjuan Zhou (12880019)

"…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …"

Table_10_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx حسب Mingjuan Zhou (12880019)

"…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …"

Table_3_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx حسب Mingjuan Zhou (12880019)

"…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …"

Models’ performance without optimization. حسب Muhammad Usman Tariq (11022141)

"…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"

Design and implementation of the Multiple Criteria Decision Making (MCDM) algorithm for predicting the severity of COVID-19. حسب Jiaqing Luo (10975030)

"…EVAL1: The correlation between input features <i>x</i>∈<i>X</i> and output features y∈<i>Y</i>, <i>R</i>[<i>x,y</i>] or <i>R</i>[<i>y,x</i>]; EVAL2: The correlation between input features <i>x</i>∈<i>X</i> and labeled features v∈<i>L</i>, <i>R</i>[<i>x,v</i>] or <i>R</i>[<i>v,x</i>]; Subset: The optimal input feature subset. …"

Raw results. حسب Mahmood A. Jumaah (22272371)

The illustration depicts our CQ-CNN architecture for binary image classification. حسب Mominul Islam (3513758)

RNN performance comparison with/out optimization. حسب Muhammad Usman Tariq (11022141)

"…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"

Image_1_The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients.TIF حسب Xiaoying Lou (9700261)

Image_2_The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients.TIF حسب Xiaoying Lou (9700261)

Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP حسب Xiaoyuan Wang (492534)

Table_1_Data-based modeling for hypoglycemia prediction: Importance, trends, and implications for clinical practice.docx حسب Liyin Zhang (6371999)

Load data or power demand. حسب M. Nasrallah (19066121)

A portfolio selection model based on the knapsack problem under uncertainty حسب Fereshteh Vaezi (6655028)

"…The resulted model is converted into a parametric linear programming model in which the decision maker is able to determine the optimism threshold. Finally, a discrete firefly algorithm is designed to find the near optional solutions in large dimensions. …"

<i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

"…<p><b>(A)</b> Input data is a list of genotype-level SNPs. <b>(B)</b> Focusing on the positive class only, the algorithm exploits FIM (<i>apriori</i> algorithm) to build a list of candidate interactions of any desired order, retaining those that have an empirical frequency above a given threshold <i>δ</i>. …"

Weights of sample data. حسب Yixuan Lu (9987980)

Data_Sheet_1_Prediction-Driven Decision Support for Patients With Mild Stroke: A Model Based on Machine Learning Algorithms.docx حسب Xinping Lin (1591438)

Sample data of K-means clustering. حسب Yixuan Lu (9987980)