A confusion matrix is a table that is often used to describe the performance of a classification model (or “classifier”) on a set of data for which the true values are known. It allows you to see how well your …
Machine Learning – Random Forest
Random forests are a powerful machine learning algorithm that can be used for both classification and regression tasks. They are an ensemble learning method, which means they use multiple decision trees to make predictions, and combine the results to improve …