The ROC curve is a valuable tool to measure the performance and then fine-tune classification models, as they show you the trade-off in sensitivity and specificity for a specific classifier at various thresholds. Despite this, some might find ROC curves difficult to understand. In this post, we’ll aim to eliminate this difficulty by providing a […]
The Random Forest algorithm is a machine learning technique that is used to predict the outcomes of events. It is a type of ensemble learning, which means that it combines the predictions of multiple models in order to produce a better prediction. A Random Forest algorithm is commonly used for classification and regression tasks. In […]
Data Science, Machine Learning
Box plots are a great way to visualize your data. They can help you see the distribution of your data, as well as any outliers that may be present. In this article, we will show you how to interpret box plots, and give some examples of how they can be used in machine learning applications. […]
Data Science, Machine Learning
There has been a recent resurgence of interest in Boosted Trees Algorithms. This is due to the success of machine learning algorithms in general, and the realization that boosted trees are a very powerful tool for solving many problems. In this article, we will discuss what boosted trees are, and how they work. We will […]
