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To carry out this project, a supervised classification model called Decision Tree was used, on a set of data linked to the Dendrochronology laboratory of the Ingeniería Forestal career at the Universidad Nacional de Loja. This allowed us to discover the main features of the IAWA classification that define the quality of a wood.

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Forest-quality-decision-tree

The RapidMiner decision tree algorithm is used to find the main features of the IAWA grading that define wood quality.

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To carry out this project, a supervised classification model called Decision Tree was used, on a set of data linked to the Dendrochronology laboratory of the Ingeniería Forestal career at the Universidad Nacional de Loja. This allowed us to discover the main features of the IAWA classification that define the quality of a wood.

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