Logistic Regression
A statistical method used to predict a binary outcome based on prior observations, modeling the probability of an event as a function of independent variables.
65 topics found for
“predictive modeling”
Train/Test
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance.
Linear Regression
A statistical method that models the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.
Multiple Regression
A statistical technique that uses several explanatory variables to predict the outcome of a response variable, extending simple linear regression to include multiple input variables.
Decision Tree
A tree-like model of decisions and their possible consequences, used in data mining and machine learning for both classification and regression tasks.
Standard Economic Model
A theoretical framework in economics that assumes individuals act rationally and seek to maximize utility, used to predict economic behavior and outcomes.
Polynomial Regression
A form of regression analysis where the relationship between the independent variable and the dependent variable is modeled as an nth degree polynomial.
Data Science
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
Game Theory
A mathematical framework used to analyze strategic interactions where the outcomes depend on the actions of multiple decision-makers.