"concept drift" meaning in English

See concept drift in All languages combined, or Wiktionary

Noun

Forms: concept drifts [plural]
Etymology: Concept refers to the hidden relationship between the inputs and outputs of the model. Head templates: {{en-noun|~}} concept drift (countable and uncountable, plural concept drifts)
  1. (statistics, machine learning) The tendency of a statistical model to become less and less accurate over time in real-world conditions. Wikipedia link: concept drift Tags: countable, uncountable Categories (topical): Machine learning, Statistics
    Sense id: en-concept_drift-en-noun-RLusRPz5 Categories (other): English entries with incorrect language header, Pages with 1 entry, Pages with entries Topics: mathematics, sciences, statistics

Inflected forms

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  "etymology_text": "Concept refers to the hidden relationship between the inputs and outputs of the model.",
  "forms": [
    {
      "form": "concept drifts",
      "tags": [
        "plural"
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  "head_templates": [
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      "args": {
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      "name": "en-noun"
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  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
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          "source": "w"
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          "kind": "other",
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        },
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          "kind": "topical",
          "langcode": "en",
          "name": "Machine learning",
          "orig": "en:Machine learning",
          "parents": [
            "Artificial intelligence",
            "Computer science",
            "Cybernetics",
            "Computing",
            "Sciences",
            "Applied mathematics",
            "Systems theory",
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        {
          "kind": "topical",
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          "name": "Statistics",
          "orig": "en:Statistics",
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      "examples": [
        {
          "ref": "2010, Mounia Lalmas et al., editors, Research and Advanced Technology for Digital Libraries […] , Springer, →ISBN, page 544:",
          "text": "Regarding collection usage, frecency metrics are employed, combining frequency and recency, to effectively capture concept drift and temporal trends.",
          "type": "quote"
        },
        {
          "ref": "2020, Zhiwen Yu et al., editors, Green, Pervasive, and Cloud Computing […] , Springer Nature, →ISBN, page 115:",
          "text": "Concept drift is an important issue to be considered in data stream mining. In a real environment, the data distribution is constantly changing, and the model needs to be continuously updated to adapt to the new environment.",
          "type": "quote"
        }
      ],
      "glosses": [
        "The tendency of a statistical model to become less and less accurate over time in real-world conditions."
      ],
      "id": "en-concept_drift-en-noun-RLusRPz5",
      "links": [
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      "qualifier": "machine learning",
      "raw_glosses": [
        "(statistics, machine learning) The tendency of a statistical model to become less and less accurate over time in real-world conditions."
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      "tags": [
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  "word": "concept drift"
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{
  "etymology_text": "Concept refers to the hidden relationship between the inputs and outputs of the model.",
  "forms": [
    {
      "form": "concept drifts",
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    }
  ],
  "head_templates": [
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  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        "English countable nouns",
        "English entries with incorrect language header",
        "English lemmas",
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          "type": "quote"
        },
        {
          "ref": "2020, Zhiwen Yu et al., editors, Green, Pervasive, and Cloud Computing […] , Springer Nature, →ISBN, page 115:",
          "text": "Concept drift is an important issue to be considered in data stream mining. In a real environment, the data distribution is constantly changing, and the model needs to be continuously updated to adapt to the new environment.",
          "type": "quote"
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      ],
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        "The tendency of a statistical model to become less and less accurate over time in real-world conditions."
      ],
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          "machine learning",
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        ]
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      "qualifier": "machine learning",
      "raw_glosses": [
        "(statistics, machine learning) The tendency of a statistical model to become less and less accurate over time in real-world conditions."
      ],
      "tags": [
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        "uncountable"
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}

Download raw JSONL data for concept drift meaning in English (1.9kB)


This page is a part of the kaikki.org machine-readable English dictionary. This dictionary is based on structured data extracted on 2024-12-21 from the enwiktionary dump dated 2024-12-04 using wiktextract (d8cb2f3 and 4e554ae). The data shown on this site has been post-processed and various details (e.g., extra categories) removed, some information disambiguated, and additional data merged from other sources. See the raw data download page for the unprocessed wiktextract data.

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