In any classification task, we are predicting a label, which is the categorical outcome we want to forecast, such as whether a student will pass a course. While knowing whether the prediction is correct is important, it is even more valuable to understand how confident the model is in its prediction. For example, suppose a […]
Classification is a type of machine learning task where you predict a category (or label) rather than a continuous number. For example, classifying whether an email is spam or not is a classification task, because the output is categorical (spam or not spam), not a continuous number. Neural Networks: The Building Blocks Neural networks are a […]
In educational data mining, prediction models play a critical role in analyzing student data to infer specific outcomes, known as predicted variables, from a combination of other features, referred to as predictor variables. These models are applied in various contexts: sometimes to forecast future performance, and at other times to gain insights into current states […]
