Search⌘ K
AI Features
Home
Courses
A Practical Guide to Machine Learning with Python

SVM Implementation Steps: 8 and 9

Explore how to implement grid search to find the best hyperparameters for support vector machines. Understand how tuning C and gamma impacts model performance and learn to apply these optimized settings to improve classification results effectively.

We'll cover the following...

8) Grid search

You can improve the accuracy of our model using a technique called grid search to help us find the optimal hyperparameters for this algorithm. While many hyperparameters belong to SVCSupport Vector Classifier, we will focus on C and gamma, which generally have the biggest impact on prediction accuracy when using this algorithm.

The hyperparameter C controls the cost of misclassification on the training data. In other words, C regulates the extent to which misclassified cases (placed on the wrong side of the margin) are ignored.

This flexibility in the model is referred to as a “soft margin,” and ignoring ...