Ordinal classification is different from a standard, non-ordinal classification problem where the set of values to predict is categorical and is not ordered. For example, predicting the exterior color ...

Ordinal regression and classification methods form a vital branch of statistical learning wherein the outcome variable possesses an inherent order. Unlike conventional classification problems ...

Provides an ordinal classification system for families of flowering plants, exploring their relationships and characteristics.

They can be used to describe the degree of difference between two or more groups on an ordinal response variable. The measures summarize and complement the results of fitting models to nominal-ordinal ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any ...