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## bagging

## create a weighted-average of models, where each model is trained on a subset of the data.

## chaid

## the chi-square automatic interaction detection method for building classification trees.

## factor analysis

## reduce the number of explanatory variables by combining highly correlated variables.

## logistic regression

## regression model for binary dependent variables.

## machine learning

## broad set of artificial intelligence algorithms meant to uncover relationships in data structures with little-to-no human influence.

## multinomial logit

## regression model for categorical dependent variables with more than two categories

## neural network models

## learning algorithm that is inspired by the structure of biological neural networks.

## ordered logit

## regression model for ordinal level dependent variables.

## polynomial model

## model based on a weighted sum of one variable that is raised to different powers (e.g. aX + bX^2 + cX^3).

Statsoft.com is a great source for definitions, check out theirĀ statistics glossary.