Statistics - (Estimator|Point Estimate) - Predicted (Score|Target|Outcome|...)

1 - About

An “estimator” or “point estimate” is a statistic that is used to infer the value of an unknown parameter in a statistical model.

A point is a value in this entire possible range of values from the distribution.

This Sample statistics are also called “point estimates” because they can take only just one point in an entire possible sampling distribution.

The hat on a statistics designs an estimator (ie means “estimated” from the equation that is build from the training data).
Example:

  • <math>Y</math> is the original target score from the training data (ie collected)
  • <math>\hat{Y}</math> is the predicted score from the model.

3 - Documentation / Reference

data_mining/estimator.txt · Last modified: 2017/11/16 23:24 by gerardnico