Week #16 – Moving Average

In time series forecasting, a moving average is a smoothing method in which the forecast for time t is the average value for the w periods ending with time t-1.

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Week #15 – Interaction term

In regression models, an interaction term captures the joint effect of two variables that is not captured in the modeling of the two terms individually.

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Week #14 – Naive forecast

A naive forecast or prediction is one that is extremely simple and does not rely on a statistical model (or can be expressed as a very basic form of a model).

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Week #13 – RMSE

RMSE is root mean squared error.  In predicting a numerical outcome with a statistical model, predicted values rarely match actual outcomes exactly.

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Week #12 – Label

A label is a category into which a record falls, usually in the context of predictive modeling.  Label, class and category are different names for discrete values of a target (outcome) variable.

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