The convergence curve of each optimization algorithm under the test function. by Hao Yang (328526)

Optimized model prediction performance. by Guang Tu (22054865)

Total primary energy demand by fuel in China. by Da Lian (18880882)

Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

“…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”

Short overview of the primary dataset. by Muhammad Asim Shahid (15285640)

“…Whereas, primary data results found RF classifier gives the highest percentage of accuracy and less fault prediction in terms of 80/20 (97.14%), 70/30 (96.19%), and 5 folds cross-validation (95.85%) in the primary data results, but the algorithm complexity (0.17 seconds) is not good. …”

Variable importance of features included in the gradient boosting machine learning (XGB) algorithm for predicting postinduction hypotension. by Manabu Yoshimura (11040049)

Flow chart of the Improved Kepler Orbital Algorithm (IKOA). by Hao Yang (328526)

Data_Sheet_1_Prediction of patient choice tendency in medical decision-making based on machine learning algorithm.pdf by Yuwen Lyu (14330781)

“…</p>Method<p>Patient medical decision-making tendencies were predicted by primary survey data obtained from 248 participants at third-level grade-A hospitals in China. …”

MLP vs classification algorithms. by Mohd Mustaqeem (19106494)

“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”

OneDataShare: Data Transfer Optimization as a Service - Talk by Tevfik Kosar (8399697)

OneDataShare: Data Transfer Optimization as a Service - Poster by Tevfik Kosar (8399697)

Hybrid feature selection algorithm of CSCO-ROA. by Afnan M. Alhassan (18349378)

“…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”

Most important predictive features. by Nicola Lazzarini (3528197)

Subjects:

Table_8_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

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

Table_5_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

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

Table_1_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

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

Table_9_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

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

Table_7_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

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

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

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