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.
A tree-like model of decisions and their possible consequences, used in data mining and machine learning for both classification and regression tasks.
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 theoretical framework in economics that assumes individuals act rationally and seek to maximize utility, used to predict economic behavior and outcomes.
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance.
Decision-making strategies that use simple heuristics to make quick, efficient, and satisfactory choices with limited information.
A concept that humans make decisions within the limits of their knowledge, cognitive capacity, and available time, leading to satisficing rather than optimal solutions.
A statistical technique that uses random sampling and statistical modeling to estimate mathematical functions and simulate systems.
The process of using statistical analysis and modeling to explore and interpret business data to make informed decisions.
A mathematical framework used to analyze strategic interactions where the outcomes depend on the actions of multiple decision-makers.