Machine Learning with R Cookbook - Second Edition

Classification 2 - Neural Network and SVM

In this chapter, we will cover the following recipes:

• Classifying data with a support vector machine
• Choosing the cost of a support vector machine
• Visualizing an SVM fit
• Predicting labels based on a model trained by a support vector machine
• Tuning a support vector machine
• The basics of neural network
• Training a neural network with neuralnet
• Visualizing a neural network trained by neuralnet
• Predicting labels based on a model trained by neuralnet
• Training a neural network with nnet
• Predicting labels based on a model trained by nnet