Random Forest
Random Forest is a machine learning software that utilizes an ensemble of decision trees for classification and regression tasks. It operates by generating random inputs,... Random Forest is a machine learning software that utilizes an ensemble of decision trees for classification and regression tasks. It operates by generating random inputs, enhancing model accuracy and robustness. Developed based on Breiman's methodology (2001), it effectively handles high-dimensional data. More information can be found at https://CRAN.R-project.org/package=randomForest.
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Company Information
- Company: R Project
- Country: Austria