Research Article

Soil Classification Based on Deep Learning Algorithm and Visible Near-Infrared Spectroscopy

Table 6

The classification results of the calibration set and the test set based on the different number of samples in the calibration set by support vector machine.

The total number of calibration setCalibration setTest set

15098.00% (147/150)100.00%% (121/121)
14097.14% (136/140)100.00%% (131/131)
13096.92% (126/130100.00%% (141/141)
12096.67% (116/120)100.00%% (151/151)
11097.27% (107/110)100.00%% (161/161)
10097.00% (97/100)100.00%% (171/171)
9098.89% (89/90)98.90% (179/181)
8096.25% (77/80)98.43% (188/191)
7095.71% (67/70)98.51% (198/201)
6095.00% (57/60)98.10% (207/211)
5094.00% (47/50)91.86% (203/221)
4090.00% (36/40)91.34% (211/231)