Classification accuracy of feature set 2 and feature set 3 in each algorithm. حسب Quan Shao (20148209)

Improved random forest algorithm. حسب Zhen Zhao (159931)

"…Subsequently, the feature factors corresponding to the model with the highest accuracy were selected as the optimal feature subsets and used in the model construction as input data. Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …"

K-means++ clustering algorithm. حسب Zhen Zhao (159931)

"…Subsequently, the feature factors corresponding to the model with the highest accuracy were selected as the optimal feature subsets and used in the model construction as input data. Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …"

Pattern of the training and validating data for the last two months. حسب Mohd Sakib (20565228)

Performance evaluation of ML regression models using RMSE. حسب Marwah Salman (22593380)

ML regression methods and corresponding regressors used in LPA. حسب Marwah Salman (22593380)

Data used in this study. حسب Qinghua Li (398885)

الموضوعات: "…heuristic optimisation algorithms…"

Top features identified by the stepwise additive feature selection algorithm. حسب Kylie K. Hornaday (9713558)

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

"…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …"

Accuracy of the support vector machines for different proportion of test samples and different length of nodes used for training. حسب Abeer Aljohani (18497914)

LSTM algorithm for cyber attack prediction in IoMT. حسب Mohanad Faeq Ali (21354273)

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms حسب Zahra Bastami (21474755)

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms حسب Zahra Bastami (21474755)

Algorithm: MAML with CL-selector. حسب Zhejun Sun (9873500)

Algorithm: Pre-fine-tuning. حسب Zhejun Sun (9873500)

Algorithm: CL-selector initialization. حسب Zhejun Sun (9873500)

Proposed pipeline for the training and testing using the four datasets. حسب Yubraj Gupta (7465394)

الموضوعات:

Confusion matrices for grade classification using BERT and RegEx/MLP models. حسب Nazila Ameli (12193214)

Confusion matrices for stage classification using BERT and RegEx/MLP models. حسب Nazila Ameli (12193214)

Comparison of the selected predictive models’ performance using the training test set. حسب Fatima Zahra Rhmari Tlemçani (22319928)

الموضوعات: