👉 In statistics, "overdetermination" refers to a situation where a model or prediction is unable to accurately predict outcomes that are not perfectly predictable. In other words, if a model cannot produce accurate predictions for all possible values of the independent variable, it may be said to have over-determined or under-determined. An example of overdetermination could be when predicting the outcome of a binary random variable (like tossing a coin) where one of the outcomes is more likely than the other. In this
