SE: SE stands for standard error. It is a measure of the variability of a dataset, and is calculated as the standard deviation of the set divided by the square root of the number of data points.
Definition of Error Error: An error is an incorrect result produced by a calculation. In data science, an error is an inconsistency or inaccuracy in data. Errors can be the result of incorrect measurements, incorrect entry of data, or simply a mistake. In order to ensure the accuracy of data, it is important to identify…
Definition of Oblique Rotation Oblique Rotation: Oblique rotation is a type of rotation that is not perpendicular to the plane of rotation.
Definition of Parametric Parametric: Parametric models are a type of statistical model that rely on mathematical formulas to describe the relationship between the input and output variables. These models can be used to predict future values for the output variable based on past values of the input variable.
Definition of Metadata Metadata: Metadata is data that describes other data. It can include information such as the date a file was created, the author of a document, or the keywords used to identify a piece of content. Metadata can be used to help organize and find information, and to track changes to data over…