Supervised learning applied to collapse data

This code fits multivariate supervised learning models (logistic
regression, Naive Bayes, SVM with various kernels, Neural network,…) to
predict structural collapse based on measures of ground motion
intensity. A 2D example is shown and illustrated at the end. For
simplicity, no train/test split of the data is performed.