TensorFlow Machine Learning Cookbook - Second Edition

How it works...

Here is the classification of I. setosa results for four different gamma values (1, 10, 25, and 100). Note how the higher the gamma value, the more of an effect each individual point has on the classification boundary:

Figure 9: Classification results of I. setosa using a Gaussian kernel SVM with four different values of gamma