Performance of machine learning algorithms. by Wenxue Liu (6877754)

Types of machine learning algorithms. by Md. Merajul Islam (12646837)

“…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.…”

Parameters of the machine learning algorithms used in the study. by Xiaoyan Yang (259084)

Subjects:

Machine learning algorithms hyperparameter values. by Mahbub E. Sobhani (22278967)

Performance of different machine learning algorithms. by Apichat Suratanee (634281)

Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms. by Júlia Bijos (14489543)

“…</p><p dir="ltr"><b>Antibioticos/Carbamazepina</b>: contains the main codes of the prediction models to classify the occurrence concentrations of some antibiotics and Carbamazepine, by tree boosting algorithms.…”

Performance of models by different algorithms. by Yong Zhang (5893)

Subjects:

The performance matrix of different machine learning algorithms. by Ahmad M. Al-Omari (20460931)

Machine learning prediction algorithm flow chart. by Ahmad M. Al-Omari (20460931)

Surface Tension Prediction of Fuel Additives Based on Machine Learning Model with Subtraction-Average-Based Optimizer Algorithm by Jianan Wang (359744)

“…To address the demand for thermophysical data of fuel additives, 574 surface tension data for 22 fuel additives were extensively collected and evaluated using empirical models. …”

Evaluation metrics of the models constructed by each algorithm. by Xiaoyan Yang (259084)

Subjects:

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

Obtained heat map for regression-based algorithms. by Akshansh Mishra (21001499)

Subjects:

Confusion Matrix for Subspace algorithm (3000 Learning Cycles) providing insight into the performance evaluation of Subspace algorithm. by Sadia Nazim (21440115)

Results obtained from the supervised machine learning regression-based algorithms in the present work. by Akshansh Mishra (21001499)

Subjects:

ML algorithms used in this study. by Toheeb Salahudeen (21368040)

“…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …”

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Feature importance plot obtained for regression-based algorithms. by Akshansh Mishra (21001499)

Subjects:

Parameters of ML algorithms. by Md. Maeen Molla (20827041)

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”