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Can two decision trees express the same decision function? How would you choose the best one? Decision Trees

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Posted on 
December 31st, 2022
Home Uncategorized Can two decision trees express the same decision function? How would you choose the best one? Decision Trees

Determination Timber

Can Two Determination Timber Categorical the Identical Determination Perform? Sure, two determination timber can specific the identical determination perform. A call tree is a graphical illustration of a set of selections and their doable outcomes. It’s composed of a root node, branches and leaf nodes (Malerba and Loiacono, 2015). By altering the situations of the tree, two comparable determination timber may be developed to provide the identical output, which can correspond to the identical determination perform. For instance, if a choice tree is used to determine spam emails, two determination timber may be generated with completely different parameters corresponding to phrases and phrases to detect spam (Moreno et al., 2017). Each timber will result in the identical ultimate selections regardless that the specifics of the situations are completely different. Relating to selecting one of the best one, efficiency indicators and algorithms corresponding to F-measure and Gini index can be utilized. F-measure helps to guage how effectively a mannequin classifies a dataset (Liang et al., 2021). Gini index evaluates how homogeneous a division is (Parfit and Nandy, 2016). The tree with the very best efficiency would be the finest one. References Liang, Y., Fan, Y.-Y., Moghadam, H.M., Katsaggelos, A.K., 2021. Determination Tree Algorithm for Picture Recognition and Classification in Useful resource Constrained IoT Units. IEEE Entry 8, 1–13. Malerba, D., Loiacono, D., 2015. A comparability of strategies for pruning determination timber. In Worldwide Convention on Machine Studying (Vol. 78, pp. 250–259). ACM. Moreno, P., García-Lapresta, J.L., Del Ser, J., 2017. A simple-to-implement determination tree to detect spam mail. Professional Programs with Purposes 82, 249–257. Parfit, M., Nandy, P.K., 2016. Gini Index as Node Splitting Standards in Determination Tree Studying. arXiv Prepr. arXiv160708977.Cont…

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