ML algorithms used in this study. by Toheeb Salahudeen (21368040)

“…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …”

Pseudocode for the missForestPredict algorithm. by Elena Albu (15181070)

“…The algorithm iteratively imputes variables using random forests until a convergence criterion, unified for continuous and categorical variables, is met. …”

Performance of machine learning algorithms. by Wenxue Liu (6877754)

The schematic diagram of the iForest algorithm. by Zhibo Xie (6790775)

“…A measurement anomaly detection algorithm based on the improved isolated forest algorithm is proposed. …”

Improved random forest algorithm. by 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. …”

Flowchart of the SSA-based optimization of the BPNN algorithm. by Yeping Shi (14279118)

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Decision tree algorithms. by Mahbub E. Sobhani (22278967)

“…We have used Random Forest, Bagging, and Boosting (AdaBoost) algorithms and have compared their performances. …”

Prediction to belong to Cluster 1 or Cluster 2 using random forest algorithm. by Olivier Mascle (14164997)

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

Genetic algorithm flowchart. by Wenguang Li (6528113)

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Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

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Machine learning algorithms hyperparameter values. by Mahbub E. Sobhani (22278967)

TreeMap 2016 Forest Type Algorithm (Image Service) by U.S. Forest Service (17476914)

“…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …”

Genetic algorithm iteration data chart. by Wenguang Li (6528113)

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Confusion Matrix for Subspace algorithm (3000 Learning Cycles) providing insight into the performance evaluation of Subspace algorithm. by Sadia Nazim (21440115)

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

The Search process of the genetic algorithm. by Wenguang Li (6528113)

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TreeMap 2016 Forest Type Name Algorithm (Image Service) by U.S. Forest Service (17476914)

“…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …”

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Prediction percentage distribution using different algorithms applied in our research. by Md Junayed Hossain (22615268)

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