fitclinear trains linear classification models for two-class (binary) learning with high-dimensional, full or sparse predictor data.
For reduced computation time on a high-dimensional data set that includes many predictor variables, you can train a linear classification model by using fitclinear. However, for low- through medium-dimensional predictor data sets, see Alternatives for Lower-Dimensional Data.
You can follow the above chart to get an understanding of how fitglm is used for Logistic regression without regularization.
