Abstract: A regression tree is one of the most popular machine learning-based decision models. Unlike a decision tree it predicts a continuous value. Many regression models have emerged to handle the ...

The otherworldly role-playing game Off grew a cult following after it was released in 2008, influencing a generation of indie developers. By Diego Argüello The surreal role-playing game Off, in which ...

In poultry production, animal products, such as poultry meat and egg, which are of a cardinal economic significance, are quite essential for the development of the economy of a country and meeting ...

Objectives Although several individual risk factors of frequent outpatient attendance (FOA) have previously been reported, identifying a specific risk profile is needed to provide effective ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of decision tree regression using the C# language. Unlike most implementations, this one does not use recursion ...

Objective: To investigate the risk factors associated with cognitive frailty among older adults in nursing homes using logistic regression and decision tree modeling, and to compare the predictive ...

train_gdp_US = sample.split(Y = gdp_US$`GDP (billions)`, SplitRatio = 0.8) trainset_gdp_US = subset(gdp_US, train_gdp_US == T) testset_gdp_US = subset(gdp_US, train ...

Abstract: Current state-of-the-art decision tree algorithms, such as Classification and Regression Trees (CART), build the decision tree using a recursive approach based on a greedy heuristic. We ...

Dr. James McCaffrey of Microsoft Research says the technique is easy to tune, works well with small datasets and produces highly interpretable predictions, but there are also trade-off cons. The goal ...