Bagging: meaning, definitions and examples

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bagging

 

[ หˆbรฆษกษชล‹ ]

Noun / Verb
Context #1 | Noun

machine learning

Bagging, an abbreviation for Bootstrap Aggregating, is an ensemble machine learning technique that improves the stability and accuracy of algorithms. It does this by combining the predictions of multiple models to reduce variance and prevent overfitting.

Synonyms

bootstrap aggregation, ensemble learning

Examples of usage

  • Bagging can significantly enhance model accuracy.
  • Data scientists often use bagging to improve predictive performance.
  • In bagging, multiple samples of the dataset are drawn to train different models.
Context #2 | Verb

collecting items

To bag means to put items into a bag or to collect something together in a more manageable format. This term is often used in contexts like shopping or gathering materials.

Synonyms

collect, gather, pack

Examples of usage

  • Don't forget to bag the groceries before leaving the store.
  • He spent the afternoon bagging leaves in the yard.
  • They are bagging donations for the charity event.

Translations

Translations of the word "bagging" in other languages:

๐Ÿ‡ต๐Ÿ‡น bagging

๐Ÿ‡ฎ๐Ÿ‡ณ เคฌเฅˆเค—เคฟเค‚เค—

๐Ÿ‡ฉ๐Ÿ‡ช Bagging

๐Ÿ‡ฎ๐Ÿ‡ฉ pengemasan

๐Ÿ‡บ๐Ÿ‡ฆ ัƒะฟะฐะบะพะฒะบะฐ

๐Ÿ‡ต๐Ÿ‡ฑ pakowanie

๐Ÿ‡ฏ๐Ÿ‡ต ใƒใ‚ฎใƒณใ‚ฐ

๐Ÿ‡ซ๐Ÿ‡ท bagging

๐Ÿ‡ช๐Ÿ‡ธ empaquetado

๐Ÿ‡น๐Ÿ‡ท poลŸetleme

๐Ÿ‡ฐ๐Ÿ‡ท ๋ฐฑํ‚น

๐Ÿ‡ธ๐Ÿ‡ฆ ุชุนุจุฆุฉ

๐Ÿ‡จ๐Ÿ‡ฟ balenรญ

๐Ÿ‡ธ๐Ÿ‡ฐ balenie

๐Ÿ‡จ๐Ÿ‡ณ ๅŒ…่ฃ…

๐Ÿ‡ธ๐Ÿ‡ฎ pakiranje

๐Ÿ‡ฎ๐Ÿ‡ธ pรถkkun

๐Ÿ‡ฐ๐Ÿ‡ฟ า›ะฐะฟั‚ะฐัƒ

๐Ÿ‡ฌ๐Ÿ‡ช แƒฉแƒแƒœแƒ—แƒ”แƒ‘แƒ˜แƒก

๐Ÿ‡ฆ๐Ÿ‡ฟ paketleme

๐Ÿ‡ฒ๐Ÿ‡ฝ empaquetado

Word origin

The term 'bagging' originates from the 14th century Middle English word 'bagge,' which means a sack or pouch. The word evolved as the use of bags became prominent in transporting goods. In the realm of machine learning, the term was introduced in the 1990s as a significant data analysis technique, combining the concepts of bootstrap sampling and aggregation. Its purpose was to create more robust statistical models by reducing prediction variance through the technique of averaging results from multiple models. Bagging has since become a foundational approach in machine learning, associated with methods like Random Forests.

Word Frequency Rank

Positioned at #22,802, this word is part of extensive vocabulary. It's relatively rare in general usage but may be important in specific fields or formal writing.