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In statistics and machine learning, leakage (also known as data leakage or target leakage) is the use of information in the model training process which would not be expected to be available at prediction time, causing the predictive scores (metrics) to overestimate the model's utility when run in a production environment.
Hence, in Java, Lisp, or Visual Basic, for example, automatic memory management reduces occurrence of any memory leaks. These languages can however still have leaks; unnecessary references to objects will prevent the memory from being re-allocated. IBM has a product called Rational Application Developer to uncover these sorts of errors.
In computer programming, the lapsed listener problem is a common source of memory leaks for object-oriented programming languages, among the most common ones for garbage collected languages. [ 1 ] It originates in the observer pattern , where observers (or listeners) register with a subject (or publisher) to receive events .
These leaks can lead to performance issues, unexpected behavior, and increased cognitive load on software developers, who are forced to understand both the abstraction and the underlying details it was meant to hide. This highlights a cause of software defects: the reliance of the software developer on an abstraction's infallibility.
A modern example of information leakage is the leakage of secret information via data compression, by using variations in data compression ratio to reveal correlations between known (or deliberately injected) plaintext and secret data combined in a single compressed stream. [1]
In computer science, a memory leak is a type of resource leak that occurs when a computer program incorrectly manages memory allocations [1] in a way that memory which is no longer needed is not released. A memory leak may also happen when an object is stored in memory but cannot be accessed by the running code (i.e. unreachable memory). [2]
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Typical resource leaks include memory leak and handle leak, particularly file handle leaks, though memory is often considered separately from other resources. [1] Examples of resources available in limited numbers to the operating system include internet sockets, file handles, process table entries, and process identifiers (PIDs). Resource ...