Research Article
Identification of Dry Bean Varieties Based on Multiple Attributes Using CatBoost Machine Learning Algorithm
| Features | Area | Perimeter | MajorAxisLength | MinorAxisLength | AspectRation | Eccentricity | ConvexArea | EquivDiameter | Extent | Solidity | Roundness | Compactness | ShapeFactor1 | ShapeFactor2 | ShapeFactor3 | ShapeFactor4 |
| Quantile statistics | Minimum | 20786.00 | 534.72 | 192.80 | 122.51 | 1.025 | 0.2190 | 21057.00 | 162.68 | 0.5724 | 0.9446 | 0.490 | 0.641 | 0.0028 | 0.0006 | 0.410 | 0.957 | 5-th percentile | 29398.35 | 636.31 | 229.51 | 158.86 | 1.213 | 0.5656 | 29732.30 | 193.47 | 0.6554 | 0.9775 | 0.764 | 0.691 | 0.0034 | 0.0008 | 0.478 | 0.986 | Q1 | 40329.00 | 743.56 | 268.51 | 184.64 | 1.443 | 0.7209 | 40761.25 | 226.60 | 0.7226 | 0.9848 | 0.823 | 0.758 | 0.0053 | 0.0010 | 0.574 | 0.993 | Median | 52981.50 | 911.06 | 350.62 | 203.69 | 1.575 | 0.7724 | 53858.50 | 259.73 | 0.7637 | 0.9880 | 0.866 | 0.795 | 0.0063 | 0.0014 | 0.632 | 0.996 | Q3 | 75098.75 | 1070.86 | 405.75 | 242.33 | 1.727 | 0.8154 | 76264.75 | 309.22 | 0.7888 | 0.9900 | 0.908 | 0.831 | 0.0069 | 0.0020 | 0.690 | 0.998 | 95-th percentile | 181172.55 | 1627.96 | 615.47 | 381.17 | 2.078 | 0.8766 | 183753.30 | 480.29 | 0.8150 | 0.9921 | 0.958 | 0.907 | 0.0080 | 0.0027 | 0.823 | 0.999 | Maximum | 254616 | 1985.37 | 738.86 | 460.20 | 2.430 | 0.9114 | 263261 | 569.37 | 0.8584 | 0.9947 | 0.988 | 0.987 | 0.0105 | 0.0037 | 0.975 | 1.000 | Range | 233830 | 1450.65 | 546.06 | 337.69 | 1.405 | 0.6925 | 242204 | 406.69 | 0.2860 | 0.0501 | 0.498 | 0.347 | 0.0077 | 0.0031 | 0.564 | 0.042 | Interquartile range (IQR) | 34769.75 | 327.30 | 137.24 | 57.70 | 0.284 | 0.0945 | 35503.50 | 82.62 | 0.0662 | 0.0052 | 0.085 | 0.073 | 0.0016 | 0.0010 | 0.116 | 0.005 | Descriptive statistics | Standard deviation | 46096.53 | 296.60 | 115.00 | 66.84 | 0.246 | 0.0915 | 46750.50 | 85.16 | 0.0495 | 0.0049 | 0.0600 | 0.061 | 0.001 | 0.001 | 0.099 | 0.005 | Coefficient of variation (CV) | 0.66 | 0.31 | 0.32 | 0.29 | 0.154 | 0.1211 | 0.66 | 0.30 | 0.0658 | 0.0050 | 0.0695 | 0.077 | 0.229 | 0.401 | 0.155 | 0.005 | Kurtosis | 2.01 | 0.56 | 0.46 | 1.09 | 0.000 | 1.6840 | 2.02 | 0.89 | 0.7746 | 7.0853 | 0.4222 | −0.223 | −0.289 | −0.587 | −0.104 | 6.656 | Mean | 69718.99 | 969.54 | 362.43 | 227.47 | 1.597 | 0.7558 | 70681.22 | 285.52 | 0.7525 | 0.9868 | 0.8637 | 0.796 | 0.006 | 0.002 | 0.638 | 0.994 | Median absolute deviation (MAD) | 15923.50 | 164.53 | 70.33 | 27.03 | 0.141 | 0.0460 | 16298.00 | 39.65 | 0.0301 | 0.0024 | 0.0424 | 0.037 | 0.001 | 0 | 0.058 | 0.002 | Skewness | 1.73 | 1.14 | 1.02 | 1.43 | 0.465 | −1.1675 | 1.73 | 1.32 | −0.9632 | −1.996 | −0.442 | 0.156 | −0.458 | 0.653 | 0.358 | −2.035 |
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