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Data validation is intended to provide certain well-defined guarantees for fitness and consistency of data in an application or automated system. Data validation rules can be defined and designed using various methodologies, and be deployed in various contexts. [1]
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
Salary can also be considered as the cost of hiring and keeping human resources for corporate operations, and is hence referred to as personnel expense or salary expense. In accounting, salaries are recorded in payroll accounts. [1] A salary is a fixed amount of money or compensation paid to an employee by an employer in return for work performed.
Debt validation, or "debt verification", refers to a consumer's right to challenge a debt and/or receive written verification of a debt from a debt collector. The right to dispute the debt and receive validation are part of the consumer's rights under the United States Federal Fair Debt Collection Practices Act (FDCPA) and are set out in §809 of that act, which has been codified in Title 15 ...