Mean squared error
Summary
The mean squared error of an estimator is the expected squared distance between the estimator and the true value. It combines the variance and the bias of the estimator. The node mean squared error gives the precise definition.
What this node needs for W1
- an inventory row: the row of the inventory that the node accounts for (0 of 1)
The writing levels say how complete the text of a node is. They do not measure its truth.
Sources
- Web https://en.wikipedia.org/wiki/Mean_squared_error, lead section
What links here
Definitions
- Mean squared error 0V4VSCBXP3