Visualization 2D of Binary Classification Models
Contour plots and FAMD function for classification modeling
Outliers in Contour plots and FAMD function for classification modelin...
Contour plots and MCA function for classification modeling
Contour plots and MCA function for classification modeling
Basic MCA function for clasification
Visual contour and 2D point and contour plots for binary classification modeling under algorithms such as 'glm', 'rf', 'gbm', 'nnet' and 'svm', presented over two dimensions generated by 'famd' and 'mca' methods. Package 'FactoMineR' for multivariate reduction functions and package 'MBA' for interpolation functions are used. The package can be used to visualize the discriminant power of input variables and algorithmic modeling, explore outliers, compare algorithm behaviour, etc. It has been created initially for teaching purposes, but it has also many practical uses under the 'XAI' paradigm.