Sensitivity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Specificity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Fitness values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Number of features selected for IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Classification accuracy values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

F-score values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Optimized process of the random forest algorithm. by Hongxia Li (493545)

“…Subsequently, a training model based on the random forest classification algorithm is constructed, and the model is optimized using two parameters, Mtry and Ntree. …”

AUW-CE Mining Algorithms & Dataset Hub by Shuaikang Yuan (21091847)

“…<p dir="ltr">High Utility Co-location Pattern Mining (HUCPM), as an important branch of spatial data mining, aims to extract patterns with utility values that meet or exceed a predefined threshold based on user-defined utility criteria (e.g., cost, profit). …”

Optimal dimension and optimal wavelet base of 14 categories. by Ming Gao (115719)

Architecture of the DGAK Module and AKConv Initial Sampling Coordinate Generation Algorithm. by Siyuan Tang (5963312)

Number of samples after dataset optimization. by Ming-zhou Lv (21402593)

Sample of the comparison of inference given by the adaboost algorithm and the real data. by Raphael Souza de Oliveira (12647110)

Confidence and inventory optimization efficiency of DPMES prediction results based on sample data inside and outside the platform. by Yi Zhang (9093)

Evaluation of the optimization algorithm using mock microbiome reference values. by Juan Ricardo Velasco-Álvarez (16859181)

Evaluation of the optimization algorithm using clinical microbiome reference values. by Juan Ricardo Velasco-Álvarez (16859181)

Comparative analysis of off-policy PPO algorithm and on-policy algorithm on the a) CSMAR and b) MorningStar datasets. by Cai Yuanqing (22513351)

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”

Sample training data. by Ravi Teja Srungaram (19193887)

Evaluation of the optimization algorithm using <i>in vitro</i> microbiome reference values. by Juan Ricardo Velasco-Álvarez (16859181)

Latin sampling. by Honghua Liu (15307022)