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In this dissertation, we explore previously defined random forest proximities and demonstrate their weaknesses in popular proximity-based applications. Additionally, we develop a new proximity Γ’β¬Β¦ The rfgap class is conditionally built upon the sklearn randomforestclassifier or randomforestregressor with the additional functionality of proximity generation via the method Γ’β¬Β¦
We define a new random forest proximity measure called random forest-geometry- and accuracy-preserving proximities (rf-gap) that defines a data geometry such that the proximity-weighted Γ’β¬Β¦ We define a new random forest proximity measure called random forest-geometry- and accuracy-preserving proximities (rf-gap) that defines a data geometry such that the proximity-weighted Γ’β¬Β¦