Machine Learning for OpenCV 4 - Second Edition

Further improving the model

Although the RBF kernel makes for a good default kernel, it is not always the one that works best for our problem. The only real way to know which kernel works best on our data is to try them all and compare the classification performance across models. There are strategic ways to perform this so-called hyperparameter tuning, which we'll talk about in detail in Chapter 11, Selecting the Right Model with Hyperparameter Tuning.

What if we don't know how to do hyperparameter tuning properly yet?

Well, I'm sure you remember the first step in data understanding, visualize the data. Visualizing the data could help us understand if a linear SVM was powerful enough to classify the data, in which case there would be no ...