epävarmuusarviona
Epävarmuusarviona, also known as an uncertainty measure, is a concept used in various fields such as statistics, information theory, and decision theory to quantify the amount of uncertainty or unpredictability associated with a random variable. It provides a way to evaluate the degree of confidence or lack thereof in the outcomes of a probabilistic model.
One of the most common uncertainty measures is entropy, which was introduced by Claude Shannon in the
where the sum is over all possible outcomes and the logarithm is typically base 2. Entropy is
Other uncertainty measures include Gini impurity, used in decision tree algorithms, and variance, which is commonly
Uncertainty measures are essential in fields such as machine learning, where they help in evaluating the performance