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 […]
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 […]
Prediction models are powerful tools in educational data mining, designed to infer a specific aspect of data (known as the predicted variable) from a combination of other aspects (predictor variables). These models can be used in various contexts, from forecasting future events to making inferences about the present. Predicting the Future: A Challenging Task One […]
