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 cognitive bias that occurs when conclusions are drawn from a non-representative sample, focusing only on successful cases and ignoring failures.
The use of data and insights to understand and manage relationships with customers and prospects.
A bias that occurs when the sample chosen for a study or survey is not representative of the population being studied, affecting the validity of the results.
A tendency for respondents to answer questions in a manner that is not truthful or accurate, often influenced by social desirability or survey design.
A statistical rule stating that nearly all values in a normal distribution (99.7%) lie within three standard deviations (sigma) of the mean.
A range of values, derived from sample statistics, that is likely to contain the value of an unknown population parameter.
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.
Code added to a webpage to help search engines understand the content and provide more informative results for users, enhancing SEO.