CONTROL ESTRICTO DE MATRICES DE CONFUSIÓN POR MEDIO DE DISTRIBUCIONES MULTINOMIALES
DOI:
https://doi.org/10.21138/GF.591Palavras-chave:
control de calidad, exactitud temática, distribución multinomial, matriz de confusiónResumo
Las matrices de confusión son la forma más usual y estándar de informar sobre la exactitud temática de productos derivados de la clasificación de datos procedentes de imágenes. En este marco, son ampliamente utilizados dos índices: el porcentaje de acuerdo y el índice Kappa. Ambos son índices globales y no permiten un control categoría por categoría y, aún menos, establecer dentro de una categoría condiciones específicas. En este trabajo se propone un método novedoso basado en la distribución multinomial y en un test estadístico exacto. De esta forma, se pueden establecer las preferencias de exactitud para cada categoría y también establecer cierto grado de mala clasificación entre distintas categorías.Referências
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