To evaluate the predictive validity, we used a classification accuracy test with a discriminant linear function for the four patterns.
Subsequent to a training procedure through leave-one-out cross-validation, we fitted a discriminant (linear discriminant analysis (LDA)) equation using the four most discriminant probesets.
To evaluate whether this approach might be feasible, we trained a linear discriminant model for C24-heterosis.
Tree-based models such as CART (Classification And Regression Trees) [ 22] are non-linear and non-parametric alternatives to linear models for regression and classification problems (such as linear regression, logistic regression, linear discriminant analysis, linear proportional hazard models).
Huang et al. propose a sparse composite linear discriminant analysis model for identification of disease-related brain regions of AD from multiple data sources [71].
For a linear model p = q.
To identify the most similar superpopulation for each MCCD case, a linear discriminant model was created based on the top 20 multidimensional scaling components using linear discriminant analysis (lda command in MASS package in R) with the 1KG individuals as a training set.
"It is not a linear model.
A linear discriminant model was developed to classify a data set of 163 compounds as substrates or nonsubstrates (91 substrates and 72 nonsubstrates).
Furthermore the two metrics could be used as inputs to a linear discriminant model.
