Choosing between a regression and classification model in predictive analytics depends on the nature of the target variable. Regression models are suitable when the outcome is continuous and ...

This month we'll look at classification and regression trees (CART), a simple but powerful approach to prediction 3. Unlike logistic and linear regression, CART does not develop a prediction equation.

In the case of the classification training this is directly provided by the folder names (folders correspond to classes). In the case of regression, all files are stored in the same folder and the ...

Investigation of popular classification techniques, such as LDA and QDA. We will also explore another Regression, Poisson Regression, as well as link functions, which connect all Regressions together.

The first job for many artificial intelligence (AI) algorithms is to examine the data and find the best classification. An autonomous car, for example, may take an image of a street sign; the ...

Multivariate pattern analysis (MVPA) is an umbrella term that covers multivariate methods such classification, regression and related approaches such as Representational Similarity Analysis.MVPA-Light ...

“Data classification helps organisations reduce risk and enhance the overall compliance and security posture,” says Stefan Voss, a vice-president at IT management tool company N-able.