Misclassify: meaning, definitions and examples
🔀
misclassify
[ ˌmɪsˈklæsɪfaɪ ]
in data analysis
To classify incorrectly or assign to the wrong category or group, especially in the context of data analysis.
Synonyms
misassign, misidentify, mislabel
Examples of usage
- The algorithm misclassified the images due to a glitch in the system.
- She realized she had misclassified the data after reviewing it again.
- If we misclassify the samples, our results will be inaccurate.
- The software was trained to avoid misclassifying new entries.
- It is crucial to ensure the model does not misclassify the data.
Translations
Translations of the word "misclassify" in other languages:
🇵🇹 classificar erroneamente
🇮🇳 गलत वर्गीकृत करना
🇩🇪 falsch klassifizieren
🇮🇩 mengklasifikasikan secara salah
🇺🇦 неправильно класифікувати
🇵🇱 błędnie klasyfikować
🇯🇵 誤分類する
🇫🇷 mal classer
🇪🇸 clasificar incorrectamente
🇹🇷 yanlış sınıflandırmak
🇰🇷 잘못 분류하다
🇸🇦 تصنيف بشكل خاطئ
🇨🇿 nesprávně klasifikovat
🇸🇰 nesprávne klasifikovať
🇨🇳 错误分类 (cuòwù fēnlèi)
🇸🇮 napačno razvrstiti
🇮🇸 ranglega flokka
🇰🇿 қате жіктеу
🇬🇪 არასწორად კლასიფიცირება
🇦🇿 səhv təsnif etmək
🇲🇽 clasificar incorrectamente
Etymology
The word 'misclassify' is a combination of 'mis-' meaning 'wrongly' and 'classify' meaning 'to categorize'. It first appeared in the English language in the mid-19th century. The term is commonly used in the field of data analysis and machine learning to describe the incorrect assignment of data points to categories or groups. Misclassification can lead to errors in analysis and interpretation of data, highlighting the importance of accurately categorizing information.
See also: classifiable, classifier, classifies, classifying, declassify, unclassify.