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Hypothesis testClassical statistics

Analisis ROC (Receiver Operating Characteristic)

Analisis ROC menilai sejauh mana pemboleh ubah ujian berterusan atau ordinal dapat membezakan antara dua kelas hasil perduaan. Dengan memplot kadar positif benar (sensitiviti) melawan kadar positif palsu (1 − spesifisiti) merentasi semua ambang keputusan, ia menghasilkan lengkung yang luas di bawah lengkung (AUC) mengukur kuasa pembezaan keseluruhan, dari 0.5 (kebetulan) hingga 1.0 (pembezaan sempurna).

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Sumber

  1. Hanley, J. A., & McNeil, B. J. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143(1), 29–36. DOI: 10.1148/radiology.143.1.7063747
  2. Zweig, M. H., & Campbell, G. (1993). Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clinical Chemistry, 39(4), 561–577. DOI: 10.1093/clinchem/39.4.561

Cara memetik halaman ini

ScholarGate. (2026, June 3). Receiver Operating Characteristic Analysis. ScholarGate. https://scholargate.app/ms/statistics/roc-analysis

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Dirujuk oleh

ScholarGateROC analysis (Receiver Operating Characteristic Analysis). Dicapai 2026-06-15 daripada https://scholargate.app/ms/statistics/roc-analysis · Set data: https://doi.org/10.5281/zenodo.20539026