machine-learning-algorithms support-vector-machine decision-tree-classifier online-learning model-evaluation gradient-boosting knearest-neighbor-classifier random-forest-classifier drift-detection ...

The Receiver Operating Characteristic (ROC) curve is a critical tool for binary classification analysis in medicine, with the Area Under the ROC Curve (AUROC) serving as a widely accepted metric to ...

Bradley, A.P. (1997) The Use of the Area under the ROC Curve in the Evaluation of Machine Learning Algorithms. Pattern Recognition, 30, 1145-1159.

The ROC curve is a fundamental tool in machine learning classification tasks, providing a visual representation of the model's ability to discriminate between positive and negative cases across ...

Generating an ROC curve To produce an ROC curve, the sensitivities and specificities for different values of a continuous test measure are first tabulated. This results, essentially, in a list of ...

Our group project aimed to evaluate three predictive machine learning classification models to anticipate whether website visitors engage in transactions. This is done by analysing different ...