visualpred:Visualization 2D of Binary Classification Models
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.
