Feature selection using the Boruta algorithm. by Guang Tu (22054865)

Subjects:

Participant selection algorithm. by Alex Gough (16734033)

Participant selection algorithm. by Alex Gough (16734033)

Feature importance of selected predictors by genetic algorithm. by Taiwo A. Adekunle (22226868)

Dynamic analysis of algorithms to select the best one. by Fizza Shafique (19996292)

Variable selection procedure using the Boruta algorithm. by Qiudie Liu (22655907)

Subjects:

Diagnoses which were not selected by either algorithm across the three cohorts. by Mohammad A. Al-Mamun (6086642)

IRBMO vs. feature selection algorithm boxplot. by Chenyi Zhu (9383370)

“…To further enhance the performance, this paper also constructs the V2IRBMO variant by combining the S-shaped and V-shaped transfer functions, which further enhances the robustness and generalization ability of the algorithm. Experiments demonstrate that IRBMO exhibits high efficiency, generality and excellent generalization ability in feature selection tasks. …”

Selected features. by Xiaotong Bai (19819284)

Subjects:

Dimension reduction rate of the third set of experimental algorithms on high-dimensional datasets. by Xiaotong Bai (19819284)

Subjects:

Bar chart comparing the average fitness values of various feature selection algorithms. by Doaa Sami Khafaga (21463870)

Core genes were selected through PPI analysis based on three algorithms. by Dong-Hee Han (140305)

Feature correspondence position selection. by Xiaotong Bai (19819284)

Subjects:

Local Means Thresholding Algorithm shows high robustness. by Araven Tiroumalechetty (17827252)

Flowchart of the selection process for patients who underwent PD using the REIN – SNDS linkage algorithm. by Bruno Legendre (21989445)

Comparison results with different algorithms. by Lei Wang (6656)

Subjects:

Flowchart of selected guidelines. by Margaretha G. M. Roemer (9857054)

“…</p><p>Methods</p><p>We searched for diagnostic guidelines on anaemia in the Trip, Guidelines International Network and country specific databases. To be selected, the guidelines had to include diagnostic criteria or algorithms to determine the cause of anaemia in the general adult population.…”

Schematic diagram for selecting the nearest node. by Naeem Ul Islam (19837966)

Most important features as selected by the Sequential Feature Selection algorithm (where appropriate) and found optimal hyperparameters for the top 3 scoring models. by Andres Portocarrero-Bonifaz (21367929)

List of the time used by each algorithm. by JiaMing Gong (20427837)

“…In this manner high quality and common samples are randomly selected for training the classifier. …”