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.
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.
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.
A design approach that predicts user needs and actions to deliver proactive and personalized experiences.
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.
The use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes.
A design approach that uses data, algorithms, and predictive analytics to anticipate user needs and behaviors, creating more personalized and effective experiences.
The process of predicting future customer demand using historical data and other information.
The process of predicting how one will feel in the future, which often involves biases and inaccuracies.
The process of making predictions about future trends based on current and historical data.