Classifications program of usability of a water treatment system using the support vector machine

The purpose of the article is to build a model for classifying a usability of a water treatment system using the support vector machine. To achieve this goal, several models were created with different kernels, hyperparameters were optimized for them and models results were compared. Grid search method was used to optimize hyperparameters. F1-score was used as a metric