Research Article
Prediction of Soil Moisture-Holding Capacity with Support Vector Machines in Dry Subhumid Tropics
Table 2
Descriptive statistics of training and testing datasets.
| | Min | Max | Mean | SD | Skewness | Kurtosis |
| Training | | | | | | | BD | 1.00 | 1.19 | 1.06 | 0.04 | 1.17 | 1.40 | OC | 0.06 | 3.23 | 0.80 | 0.58 | 1.63 | 3.30 | Clay | 0.10 | 63.60 | 22.19 | 16.64 | 0.64 | −0.53 | Sand | 20.00 | 96.60 | 64.90 | 16.41 | −0.52 | −0.35 | Silt | 1.40 | 35.40 | 12.90 | 4.89 | 0.87 | 2.75 | θ30 | 0.08 | 0.48 | 0.23 | 0.07 | 0.52 | 0.23 | θ1500 | 0.03 | 0.38 | 0.18 | 0.07 | 0.31 | −0.13 |
| Testing | | | | | | | BD | 1.00 | 1.16 | 1.05 | 0.03 | 0.97 | 0.88 | OC | 0.10 | 3.37 | 0.82 | 0.64 | 1.69 | 3.42 | Clay | 0.10 | 61.00 | 22.26 | 15.78 | 0.55 | −0.64 | Sand | 25.60 | 94.60 | 64.67 | 15.97 | −0.31 | −0.61 | Silt | 2.80 | 24.40 | 13.08 | 5.29 | 0.10 | −0.71 | θ30 | 0.09 | 0.41 | 0.23 | 0.07 | 0.02 | −0.46 | θ1500 | 0.05 | 0.39 | 0.19 | 0.07 | 0.05 | −0.26 |
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