User:Sintel/Validation of common consonance measures: Difference between revisions
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To validate these measures, a linear model was fitted to the perceptual data, using weighted least squares to account for the variance. | To validate these measures, a linear model was fitted to the perceptual data, using weighted least squares to account for the variance. | ||
Since all models have only | Since all models have only two parameters (slope and intercept), we can directly compare their R-squared coefficient, which measures how well the model correlates with the data. | ||
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