Chapter 5. Classification (II) – 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
- 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
Introduction
Most research has shown that support vector machines (SVM) and neural networks (NN) are powerful classification tools, which can be applied to several different areas. Unlike tree-based or ...
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