Two Class Support Vector Machine

Two-Class Support Vector Machine is used to create a model that is based on the Support Vector Machine Algorithm.The classifier that this module initializes is useful for predicting between two possible outcomes that depend on continuous or categorical predictor variables. This model is a supervised learning method and therefore, requires a dataset which includes a labeled column. You can train the model by providing the model and the tagged dataset as an input to Train Model or Tune Model Hyperparameters. The trained model can then be used to predict values for the new input examples. Support Vector Machines (SVMs) are supervised learning models that analyze data and recognize patterns.