Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

Improved random forest algorithm. by Zhen Zhao (159931)

“…Compared with MDA-RF, the prediction accuracy of the improved RF built on the same subset increased by 1.7%, indicating that improving the bootstrap sampling of random forest by using the K-means++ clustering algorithm can enhance model accuracy to some extent. …”

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

“…Missing data in input variables often occur at model development and at prediction time. The missForestPredict R package proposes an adaptation of the missForest imputation algorithm that is fast, user-friendly and tailored for prediction settings. …”

Schematic diagram of random forest algorithm. by Imee V. Necesito (12749885)

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

The basic process of feature selection of the random forest algorithm. by Jintao Li (448681)

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

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

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

Data and code resources. by Sam Hall-McMaster (10343795)

Prediction performance compared with random forest algorithm. by Yixian Wen (12201388)

Code used for data analysis in this study. by Nourin Sultana (22339463)

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Performance of models by different algorithms. by Yong Zhang (5893)

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Predictive variables screened by LASSO regression and Random Forest algorithm. by Da-cheng Wang (22232009)

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BER comparison among PSM-based feedback algorithm, SBF algorithm, and perfect CSI using Monte-Carlo simulation. by Sarmad Sohaib (21273402)

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General model performance for different algorithms. by Binghan Xue (21253235)

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Risk element category diagram. by Yao Hu (3479972)

The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

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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 genome coding scheme. by Wenbing Shi (5806160)

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