What are cases and variables?
STATISTICA data files are organized into cases and variables. If you are not familiar with this notation you can think of cases as the equivalent of records in a database management program (or rows of a spreadsheet), and of variables as the equivalent of fields (columns of a spreadsheet). Each case consists of a set of values of variables.
STATISTICA datafiles are organized into cases and variables. If you are not familiar with this notation, you can think of cases as the equivalent of records in a database management program (or rows of a spreadsheet) and variables as the equivalent of fields (columns of a spreadsheet). Each case consists of a set of values of variables.
A vector of values presented at one time to all the input units of a neural network is called a “case”, “example”, “pattern, “sample”, etc. The term “case” will be used in this FAQ because it is widely recognized, unambiguous, and requires less typing than the other terms. A case may include not only input values, but also target values and possibly other information. A vector of values presented at different times to a single input unit is often called an “input variable” or “feature”. To a statistician, it is a “predictor”, “regressor”, “covariate”, “independent variable”, “explanatory variable”, etc. A vector of target values associated with a given output unit of the network during training will be called a “target variable” in this FAQ. To a statistician, it is usually a “response” or “dependent variable”. A “data set” is a matrix containing one or (usually) more cases. In this FAQ, it will be assumed that cases are rows of the matrix, while variables are columns. Note that the of
