Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach

Figure 7

Distribution of correlations (Spearman’s on the right and Pearson’s on the left) obtained for each of the three criteria (DPChallenge, Aesthetic, and Quality) using 256 input variables and an SVM model optimised using hyperparameterisation.

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