Research Article
Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach
Table 1
Descriptive data for each of the five sets of 200 images that make up the proposed dataset.
| Range | | | | | |
| Average | 3.5943 | 4.4695 | 5.4975 | 6.4715 | 7.3112 | Deviation | 0.2613 | 0.2868 | 0.2894 | 0.2845 | 0.2335 | Variance | 0.0683 | 0.0822 | 0.0837 | 0.0809 | 0.0545 | Kurtosis | -0.8224 | -1.2370 | -1.1765 | -1.1595 | -0.4500 | Bias | -0.3998 | 0.1611 | -0.0005 | 0.1099 | 0.6879 | Minimum | 3.0070 | 4.0130 | 5.0060 | 6.0030 | 7.0000 | Maximum | 3.9970 | 4.9970 | 5.9970 | 6.9940 | 7.9530 |
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