Evaluation metrics of the XGBoost model with 12 selected features on training and test sets. by Yong Zhang (5893)

Hyper-parameter settings. by Pan Wang (198097)

Estimates of all non-zero coefficients in the gene expression simulation setting with inter-feature correlation and <i>q</i> = 3 random effects with an unstructured covariance matr... by Evan Gorstein (20553314)

Feature selection process. by Balraj Preet Kaur (20370832)

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Algorithm for generating hyperparameter. by Balraj Preet Kaur (20370832)

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Results of machine learning algorithm. by Balraj Preet Kaur (20370832)

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Convergence curves for the applied algorithms. by Eslam Hamouda (5172083)

Selected features. by Xiaotong Bai (19819284)

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

The standard deviations across simulated data sets of non-zero estimates of penalized coefficients under different omics studies. by Evan Gorstein (20553314)

The trace plot of Genetic Algorithm. by Zeonlung Pun (21395508)

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Nonparametric Assessment of Variable Selection and Ranking Algorithms by Zhou Tang (7309340)

“…In this article, we propose methods of comparing variable selection and ranking algorithms. We first introduce measures of the quality of variable selection and ranking algorithms. …”

Flowchart of study selection. by Soheil Mohammadi (12468952)

Classification accuracy for each model test set. by Minan Tang (20389941)

Variable selection of final model fits in all gene expression simulation settings with <i>q</i> = 3 random effects. by Evan Gorstein (20553314)

ROC comparison of machine learning algorithm. by Balraj Preet Kaur (20370832)

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Fusion rule set. by Yandong Liu (11893664)

LEN and dimension reduction rates for the second set of experiments. by Xiaotong Bai (19819284)

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Flowchart of the TMKMCRIGWO algorithm. by Xiaotong Bai (19819284)

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Flowchart of MKMC algorithm. by Xiaotong Bai (19819284)

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