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.

MinMaxMeanSDSkewnessKurtosis

Training
BD1.001.191.060.041.171.40
OC0.063.230.800.581.633.30
Clay0.1063.6022.1916.640.64−0.53
Sand20.0096.6064.9016.41−0.52−0.35
Silt1.4035.4012.904.890.872.75
θ300.080.480.230.070.520.23
θ15000.030.380.180.070.31−0.13

Testing
BD1.001.161.050.030.970.88
OC0.103.370.820.641.693.42
Clay0.1061.0022.2615.780.55−0.64
Sand25.6094.6064.6715.97−0.31−0.61
Silt2.8024.4013.085.290.10−0.71
θ300.090.410.230.070.02−0.46
θ15000.050.390.190.070.05−0.26