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User Forums => Patterns & Predictions => FAQ => Topic started by: Anders L Madsen on August 22, 2007, 08:51:10

Title: How do I find the most informative case?
Post by: Anders L Madsen on August 22, 2007, 08:51:10
The most informative case is the case which reduces the entropy of the target variable the most. The entropy may be interpreted as a measure of the degree of chaos in a probability distribution. Since a PHPP model contains a unique target variable, the most informative case is the case which reduces the entropy of the posterior distribution of the target variable the most.

The <ph -voicase> command computes a measure of how well a single case predicts the target variable. The measure computed by this command is referred to as the value-of-information score of the case. The higher the score, the better the case predicts the target  variable. Finding the most informative case is then a question of identifying the case with the highest value-of-information score.