Hans-Leo
2007-08-29, 17:49
Handwriting movement analysis experiments www.movalyzer.com
Specificity: How well a binary classification test correctly identifies the negative cases, or those cases that do not meet the condition under study http://en.wikipedia.org/wiki/Specificity_%28tests%29
Sensitivity, or recall rate: How well a binary classification test correctly identifies a condition, whether this be medical screening tests picking up on a disease, or quality control in factories deciding if a new product is good enough to be sold. http://en.wikipedia.org/wiki/Sensitivity_%28tests%29
Effect Size: Measure of the strength of the relationship between two variables (2.1 Pearson r correlation, Cohen's d, Hedges' ĝ, Cohen's f2, φ, Cramer's φ, or Cramer's V, Odds ratio http://en.wikipedia.org/wiki/Effect_size#Cohen.27s_d
Specificity: How well a binary classification test correctly identifies the negative cases, or those cases that do not meet the condition under study http://en.wikipedia.org/wiki/Specificity_%28tests%29
Sensitivity, or recall rate: How well a binary classification test correctly identifies a condition, whether this be medical screening tests picking up on a disease, or quality control in factories deciding if a new product is good enough to be sold. http://en.wikipedia.org/wiki/Sensitivity_%28tests%29
Effect Size: Measure of the strength of the relationship between two variables (2.1 Pearson r correlation, Cohen's d, Hedges' ĝ, Cohen's f2, φ, Cramer's φ, or Cramer's V, Odds ratio http://en.wikipedia.org/wiki/Effect_size#Cohen.27s_d