regressor

Model predicting outcomes

A regressor is a variable used to predict or explain another variable in statistical analysis—the input rather than the output.

In machine learning, regressor also names a model or algorithm that predicts continuous values: The random forest regressor outperformed the linear model.

The term comes from regression analysis, where regressors are the independent variables in an equation.

modeling

predictor

One who foretells events

coefficient · residual · lasso · beta · intercept · slope · least squares

diagnostics

residual

What remains afterward

normality · standard error · overfitting · underfitting · regularization · cross-validation

prediction

forecast

Prediction of future conditions

inference · extrapolation · interpolation · confidence interval · expected value · predictive model · approximation · scoring

correlation

covariance

Joint deviation measure

scatterplot · bivariate · association · collinearity

timeseries

trend

Direction of change

growth curve · trendline · cyclical · temporal · ARIMA · moving average

Categories
Opposites
statistical role

regressordependent variable

Outcome being measured

developmental direction

regressoradvancer

One who moves forward

developer · grower · evolver

Phrases
Family

regress, regression, regressive, regressed, regressing, regresses

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