Despite all the perks, decision trees can sometimes overfit or struggle with balancing bias and variance. To further explain, overly simplistic trees may exhibit high bias, while overly complex trees ...

Objective: To determine whether classification tree techniques used on survey data collected at enrollment from older adults in a Medicare HMO could predict the likelihood of an individual being in a ...

Abstract: Multi-class classification problem is still a research hotspot in machine learning, and researchers dedicate themselves to create new algorithms with higher efficiency and accuracy. A ...