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Features with their corresponding Gini feature importance scores for decision trees and random forests predicting hospitalizations after outpatient urinary tract infection (UTI).

open access: green
Varuni Sarwal (6291391)   +4 more
openalex   +1 more source

Decision Tree

Mathematics Teacher: Learning and Teaching PK-12, 2020
Johannes Fürnkranz
semanticscholar   +3 more sources

Analysis of the prediction performance of decision tree-based algorithms

2023 International Conference on Decision Aid Sciences and Applications (DASA), 2023
Due to their many benefits, decision trees are extensively utilized to solve a variety of classification problems in the real world. Consequently, creating efficient and effective decision trees remains a common challenge for researchers in the fields of
F. Aaboub   +2 more
semanticscholar   +1 more source

Trees and decisions [PDF]

open access: possibleEconomic Theory, 2005
The traditional model of sequential decision making, for instance, in extensive form games, is a tree. Most texts define a tree as a connected directed graph without loops and a distinguished node, called the root. But an abstract graph is not a domain for decision theory.
Alós-Ferrer, C., Ritzberger, K.
openaire   +4 more sources

Decision tree classifier: a detailed survey

International Journal of Information and Decision Sciences, 2020
Decision tree classifier (DTC) is one of the well-known methods for data classification. The most significant feature of DTC is its ability to change the complicated decision making problems into simple processes, thus finding a solution which is ...
Priyanka, Dharmender Kumar
semanticscholar   +1 more source

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