Machine Learning
Explore how to train a Support Vector Machine classifier using selected features and real-valued data. Learn to tune key hyperparameters, make predictions, and evaluate model performance using tools like confusion matrices to optimize your machine learning workflow.
We'll cover the following...
We'll cover the following...
We have explored the data and different methods of feature selection. Now, we are going to train our SVM classifier.
Overview
We have identified the top 10 features in the feature selection using three different statistical measures. However, we’ll use all real-valued features to train our ...