A dependent variable that has three or more possible values is usually encoded using one-hot encoding or ordinal encoding. If you are trying to predict color, which can be red, blue or green, ordinal ...

A key statistical test in research fields including biology, economics and psychology, analysis of variance (ANOVA) is very useful for analyzing datasets. It allows comparisons to be made between ...

This article demonstrates how spatially dependent data with a categorical response variable can be addressed in a statistical model. We introduce the idea of an autologistic model where the response ...

Meta-analysis of the literature on quantum dot toxicity using a machine-learning tool helps reveal hidden relationships between material properties and toxicity. A random forest is an ensemble of a ...

I have come across various ways of defining Artificial Neural Networks (ANNs). Many of them miss a fundamental characteristic of theirs. An ANN is a machine learning model. Like all machine learning ...

Neural networks are essentially complex math functions which work with numeric values. Therefore, categorical predictor variables and categorical dependent variables must be converted to a numeric ...