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create a weighted-average of models, where each model is trained on a subset of the data.
the chi-square automatic interaction detection method for building classification trees.
reduce the number of explanatory variables by combining highly correlated variables.
regression model for binary dependent variables.
broad set of artificial intelligence algorithms meant to uncover relationships in data structures with little-to-no human influence.
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.
regression model for ordinal level dependent variables.
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 their statistics glossary.