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  2. Template:Greater color contrast ratio - Wikipedia

    en.wikipedia.org/wiki/Template:Greater_color...

    This template determines the pair of colors with the larger contrast ratio: color1/color2 or color1/color3. This is useful for selecting a foreground/background color pair. For accessibility, WCAG 2.0 AA guidelines require a contrast ratio of 3 or larger for large text, and 4.5 or larger for normal sized text.

  3. Comparison of color models in computer graphics - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_color_models...

    No one color model is necessarily "better" than another. Typically, the choice of a color model is dictated by external factors, such as a graphics tool or the need to specify colors according to the CSS2 or CSS3 standard. The following discussion only describes how the models function, centered on the concepts of hue, shade, tint, and tone.

  4. Template:Ensure AAA contrast ratio - Wikipedia

    en.wikipedia.org/wiki/Template:Ensure_AAA...

    This template checks for compliance with WCAG G17, i.e. that a background–foreground colour combination has got a contrast ratio of more than 7:1.It takes two arguments, the base colour value, and the tracking category, category, to place non-compliant transclusions in.

  5. Template:Category contrast/doc - Wikipedia

    en.wikipedia.org/wiki/Template:Category_contrast/doc

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  6. Complementary colors - Wikipedia

    en.wikipedia.org/wiki/Complementary_colors

    Complementary colors in the RGB and CMY color models Complementary colors in the traditional RYB color model Complementary colors in the opponent process theory.. Complementary colors are pairs of colors which, when combined or mixed, cancel each other out (lose chroma) by producing a grayscale color like white or black.

  7. Template:PTG/contrast-header - Wikipedia

    en.wikipedia.org/wiki/Template:PTG/contrast-header

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  8. Contrast (statistics) - Wikipedia

    en.wikipedia.org/wiki/Contrast_(statistics)

    A contrast is defined as the sum of each group mean multiplied by a coefficient for each group (i.e., a signed number, c j). [10] In equation form, = ¯ + ¯ + + ¯ ¯, where L is the weighted sum of group means, the c j coefficients represent the assigned weights of the means (these must sum to 0 for orthogonal contrasts), and ¯ j represents the group means. [8]

  9. Contrast set learning - Wikipedia

    en.wikipedia.org/wiki/Contrast_set_learning

    The differences between standard classification, association rule learning, and contrast set learning can be illustrated with a simple supermarket metaphor. In the following small dataset, each row is a supermarket transaction and each "1" indicates that the item was purchased (a "0" indicates that the item was not purchased):