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. …”

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

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)

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). …”

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 <i>in vitro</i> microbiome reference values. by Juan Ricardo Velasco-Álvarez (16859181)

Sample training data. by Ravi Teja Srungaram (19193887)

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

Latin sampling. by Honghua Liu (15307022)

Heat maps of mean scores over 50 datasets of the algorithms as a function of relative noise and number of samples. by Yuanchen Zhao (12905580)

Selecting an optimal machine learning classifier. by Ramu Anandakrishnan (294535)

Sample lightning stroke data. by Manxing Shi (22367181)

Comparative analysis of computational efficiency across various hyperparameter optimization algorithms on the CSMAR and MorningStar datasets. by Cai Yuanqing (22513351)

Performance of algorithms outside the training species. by Sven B. Gould (12237287)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

Samples of Dengue, Chukungunya and Inconclusive converted by the IGTD. by Leonides Medeiros Neto (10429179)