In computer science, garbage in, garbage out (GIGO) is the concept that flawed, biased or poor quality ("garbage") information or input produces a result or output of similar ("garbage") quality.
Garbage in, garbage out (GIGO) is an informal term used in computer programming and mathematics. It refers to the concept that the quality of the output from an information system is only as good as the quality of the input.
“Garbage In, Garbage Out” (GIGO) is a concept in information technology and computer science that emphasizes the importance of input quality. It implies that if the data input into a system is flawed or inaccurate, the resulting output will also be flawed or inaccurate.
Garbage In, Garbage Out (GIGO) is a concept that is commonly used in computer science and information technology. It refers to the idea that the quality of input data directly impacts the quality of the output generated by a system or program.
Garbage in, garbage out, or GIGO, refers to the idea that in any system, the quality of output is determined by the quality of the input. For example, if a mathematical equation is improperly stated, the answer is unlikely to be correct.
What does the abbreviation GIGO stand for? Meaning: garbage in, garbage out —usually used to suggest that the results of a calculation are only as good as the input that was used.
The concept of “garbage in, garbage out” (GIGO) is what it sounds like: If you feed your model garbage, you will get garbage. Put another way, in data and analytics and in life, “you are what you eat.”