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• Optimal Hyperparameters: In machine learning, hyperparameters are parameters that are not learned from data but are set prior to training. These parameters can have a significant impact on the performance of a model. Optimal hyperparameters refer to the values of h ... Read More >>
• SHAP Values: SHAP (SHapley Additive exPlanations) values are a unified measure of feature importance in machine learning models. They provide a way to explain the output of any machine learning model by assigning importance values to each feature. SHAP ... Read More >>
• Euclidean Distance: Euclidean distance is a measure of the distance between two points in a multi-dimensional space. It is calculated as the square root of the sum of the squared differences between the corresponding coordinates of the two points. In data scie ... Read More >>