A study of 1,099 patients was conducted to test decision tree-based learning algorithms to predict analgesic consumption and patient-controlled anesthesia control readjustment, according to 7thSpace.

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...

Mihai ANDRONICEANU, EFFICIENCY AND PREDICTION IN HUMAN RESOURCE MANAGEMENT USING PYTHON MODULES, Theoretical and Empirical Researches in Urban Management, Vol. 20, No. 1 (February 2025), pp. 88-103 ...

The results of the study showed the prediction accuracies of total analgesic consumption and PCA requirement by an ensemble of decision trees were 80.9 percent and 73.1 percent, respectively. Decision ...