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. …”

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

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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. …”

Description of the dataset used for the machine learning algorithm. by Tri Ngo Quang (20390189)

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

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

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). …”

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. …”

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

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

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 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). …”

Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)

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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. …”

The pseudocode of the RFE algorithm. by Zuzhen Ji (17593348)

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

The algorithm of the applied models. by Elif Tuçe Bal (21367965)

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TreeMap 2016 Stand Size Code 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). …”

Random Forest and Gradient Boosting algorithms. by Yvan J. Garcia-Lopez (20783591)

Genetic algorithm flowchart. by Wenguang Li (6528113)

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