Use of decision trees to detect if a room is occupied using Python


Article PDF :

Veiw Full Text PDF

Article type :

Original article

Author :

Joel Atamari Aguilar, Christian Flores Conde,Jhon Mamani Mamani,Sergio Rondon Polanco

Volume :

3

Issue :

1

Abstract :

This article presents a description of the decision trees for determining whether a room is occupied or not. In this research it is empirically demonstrated that it is possible to determine whether a room is occupied or not, using the variables temperature, humidity, luminosity, CO2 level and the humidity ratio, by using decision trees with the SKLEARN libraries in the language Python.

Keyword :

Artificial Intelligence, Decision trees, CO2, Python
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