oversampling
oversampling Lexical Profile
oversampling Game Scores & Validity
• noun
A statistical and machine learning technique used to adjust the class distribution of an imbalanced dataset by duplicating or synthesizing new data points for the minority class.
"To prevent the fraud detection model from ignoring rare fraudulent transactions, the team applied oversampling to the minority class."
The process of sampling a discrete-time signal at a frequency significantly higher than the Nyquist rate to improve resolution or reduce noise.
"The digital-to-analog converter uses oversampling to push quantization noise into higher, inaudible frequency bands."
• verb
To sample a signal, population, or dataset at an excessively high rate, or at a rate greater than the standard requirement.
"We decided to oversample the audio input to capture high-frequency transients before applying the digital filter."
Word Nuance & Usage
In data science, oversampling is specifically contrasted with undersampling; oversampling duplicates minority data points, while undersampling removes majority data points to achieve class balance.
• Rhymes for oversampling
• Nearby Words
Word Origin & Etymology
A combination of the prefix 'over-' and 'sampling'. The term gained prominence in the mid-20th century with the advent of digital signal processing and later became a standard technique in machine learning and statistics.