Numeric Prediction (Regression)
Numeric prediction, also known as Regression, predicts a numeric output value using training data. It is effectively used to predict a continuous numeric value, like price or cost. In general, regression tasks are used to get information about certain aspects of a decision that will then inform a choice of action. An example of this is predicting the cost of a house, to then decide if it is worth buying. Examples: Regression is used in the creation of trend lines, which uses past data to predict future performance or “trends.” Assessing the risk associated with investment vehicles. (predict costs of actions) … Continue reading Numeric Prediction (Regression)
