Type I Error
Definition of Type I Error
Type I error: A type I error, also known as a false positive error, is the incorrect rejection of a true null hypothesis.
Type I error: A type I error, also known as a false positive error, is the incorrect rejection of a true null hypothesis.
Definition of Data Engineering Data Engineering: Data engineering is the process of extracting meaning from data and transforming it into a form that can be used by business analysts, managers, and other decision-makers. Data engineering involves creating models and tools to make data more accessible and useful. What is Data Engineering used for? Data engineering…
Definition of Join Join: A join is an operation that merges two data tables based on a common attribute. The result of the join is a new table that contains all the data from both input tables, with the duplicates removed. What is Join used for? Join is a technique used in data science and…
Definition of Lift Lift is a measure of how much a model predicts the value of a target variable relative to the prediction of the same target variable by a random guess. Lift is often used as a measure of how good a model is at discriminating between different groups. How is Lift used? Lift…
Definition of Decision Tree Decision Tree: A decision tree is a graphical representation of a decision process, used to help explain the logic of a decision. The tree has nodes, which represent choices, and branches, which represent the possible outcomes of each choice. The leaves of the tree represent the end results of the decision…
Definition of JSON JSON: JSON, or JavaScript Object Notation, is a lightweight data-interchange format. It is easy for humans to read and write, and for machines to parse and generate. JSON is based on a subset of the JavaScript language, which uses curly braces { } to enclose objects, and arrays are denoted by square…