👉 In statistics and machine learning, a biaswise is an algorithm or technique that attempts to minimize the influence of one or more features in a dataset. The goal is to reduce the variance or variability of the model's predictions by adjusting these features' weights. Biaswise algorithms are often used for feature selection in statistical models, where the goal is to select the most relevant variables based on their importance and predictive power. They can be applied to various types of data such as numerical, categorical, and continuous variables
