See overfit on Wiktionary
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"2": "over",
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"etymology_text": "From over- + fit.",
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"ref": "2004, Mark T.D. Cronin, Predicting Chemical Toxicity and Fate, CRC Press, →ISBN, page 169:",
"text": "In all modeling techniques, and neural networks in particular, care must be taken not to overtrain or overfit the model. If possible, models should be interpreted in terms of their mechanistic meaning.",
"type": "quote"
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{
"ref": "2007, Kenneth P. Burnham, David R. Anderson, Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach, Springer Science & Business Media, →ISBN, page 250:",
"text": "If your strategy is to always fit and use the global model, you will probably overfit the model (i.e., include unnecessary variables).",
"type": "quote"
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"To use a statistical model that has too many parameters relative to the size of the sample leading to a good fit with the sample data but a poor fit with new data."
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"id": "en-overfit-en-verb-4quFiola",
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"(statistics) To use a statistical model that has too many parameters relative to the size of the sample leading to a good fit with the sample data but a poor fit with new data."
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{
"word": "overfit stream"
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"translations": [
{
"code": "cmn",
"lang": "Chinese Mandarin",
"roman": "guòdù nǐhé",
"sense": "statistics: to use a statistical model that has too many parameters",
"word": "過度擬合 /过度拟合"
},
{
"code": "fi",
"lang": "Finnish",
"sense": "statistics: to use a statistical model that has too many parameters",
"word": "ylisovittaa"
},
{
"code": "fr",
"lang": "French",
"sense": "statistics: to use a statistical model that has too many parameters",
"word": "surinterpréter"
},
{
"code": "de",
"lang": "German",
"sense": "statistics: to use a statistical model that has too many parameters",
"word": "überanpassen"
},
{
"code": "is",
"lang": "Icelandic",
"sense": "statistics: to use a statistical model that has too many parameters",
"word": "ofmáta"
},
{
"code": "pt",
"lang": "Portuguese",
"sense": "statistics: to use a statistical model that has too many parameters",
"word": "sobreajustar"
},
{
"code": "es",
"lang": "Spanish",
"sense": "statistics: to use a statistical model that has too many parameters",
"word": "sobreajustar"
}
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"overfitting"
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"word": "overfit"
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"type": "quote"
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{
"ref": "2007, Kenneth P. Burnham, David R. Anderson, Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach, Springer Science & Business Media, →ISBN, page 250:",
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"To use a statistical model that has too many parameters relative to the size of the sample leading to a good fit with the sample data but a poor fit with new data."
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"(statistics) To use a statistical model that has too many parameters relative to the size of the sample leading to a good fit with the sample data but a poor fit with new data."
],
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"mathematics",
"sciences",
"statistics"
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"overfitting"
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"translations": [
{
"code": "cmn",
"lang": "Chinese Mandarin",
"roman": "guòdù nǐhé",
"sense": "statistics: to use a statistical model that has too many parameters",
"word": "過度擬合 /过度拟合"
},
{
"code": "fi",
"lang": "Finnish",
"sense": "statistics: to use a statistical model that has too many parameters",
"word": "ylisovittaa"
},
{
"code": "fr",
"lang": "French",
"sense": "statistics: to use a statistical model that has too many parameters",
"word": "surinterpréter"
},
{
"code": "de",
"lang": "German",
"sense": "statistics: to use a statistical model that has too many parameters",
"word": "überanpassen"
},
{
"code": "is",
"lang": "Icelandic",
"sense": "statistics: to use a statistical model that has too many parameters",
"word": "ofmáta"
},
{
"code": "pt",
"lang": "Portuguese",
"sense": "statistics: to use a statistical model that has too many parameters",
"word": "sobreajustar"
},
{
"code": "es",
"lang": "Spanish",
"sense": "statistics: to use a statistical model that has too many parameters",
"word": "sobreajustar"
}
],
"word": "overfit"
}
Download raw JSONL data for overfit meaning in All languages combined (3.5kB)
This page is a part of the kaikki.org machine-readable All languages combined dictionary. This dictionary is based on structured data extracted on 2025-01-25 from the enwiktionary dump dated 2025-01-20 using wiktextract (c15a5ce and 5c11237). 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.
If you use this data in academic research, please cite Tatu Ylonen: Wiktextract: Wiktionary as Machine-Readable Structured Data, Proceedings of the 13th Conference on Language Resources and Evaluation (LREC), pp. 1317-1325, Marseille, 20-25 June 2022. Linking to the relevant page(s) under https://kaikki.org would also be greatly appreciated.