feaselbysfs4wine02.txt

这是台湾张智星的模式识别的课件的源码

Construct 63 KNN models, each with up to 6 inputs selected from 13 candidates...

Selecting input 1:
Model 1/63: 1 --> Recognition rate = 59.6%
Model 2/63: 2 --> Recognition rate = 56.2%
Model 3/63: 3 --> Recognition rate = 37.6%
Model 4/63: 4 --> Recognition rate = 40.4%
Model 5/63: 5 --> Recognition rate = 50.0%
Model 6/63: 6 --> Recognition rate = 60.1%
Model 7/63: 7 --> Recognition rate = 69.7%
Model 8/63: 8 --> Recognition rate = 35.4%
Model 9/63: 9 --> Recognition rate = 49.4%
Model 10/63:10 --> Recognition rate = 64.0%
Model 11/63:11 --> Recognition rate = 57.3%
Model 12/63:12 --> Recognition rate = 59.6%
Model 13/63:13 --> Recognition rate = 68.0%
Currently selected inputs:  7

Selecting input 2:
Model 14/63: 7,  1 --> Recognition rate = 89.3%
Model 15/63: 7,  2 --> Recognition rate = 74.2%
Model 16/63: 7,  3 --> Recognition rate = 73.0%
Model 17/63: 7,  4 --> Recognition rate = 77.5%
Model 18/63: 7,  5 --> Recognition rate = 87.6%
Model 19/63: 7,  6 --> Recognition rate = 71.3%
Model 20/63: 7,  8 --> Recognition rate = 73.0%
Model 21/63: 7,  9 --> Recognition rate = 75.8%
Model 22/63: 7, 10 --> Recognition rate = 92.7%
Model 23/63: 7, 11 --> Recognition rate = 86.5%
Model 24/63: 7, 12 --> Recognition rate = 77.0%
Model 25/63: 7, 13 --> Recognition rate = 84.8%
Currently selected inputs:  7, 10

Selecting input 3:
Model 26/63: 7, 10,  1 --> Recognition rate = 94.4%
Model 27/63: 7, 10,  2 --> Recognition rate = 93.3%
Model 28/63: 7, 10,  3 --> Recognition rate = 93.8%
Model 29/63: 7, 10,  4 --> Recognition rate = 89.3%
Model 30/63: 7, 10,  5 --> Recognition rate = 93.3%
Model 31/63: 7, 10,  6 --> Recognition rate = 92.7%
Model 32/63: 7, 10,  8 --> Recognition rate = 92.7%
Model 33/63: 7, 10,  9 --> Recognition rate = 91.6%
Model 34/63: 7, 10, 11 --> Recognition rate = 92.7%
Model 35/63: 7, 10, 12 --> Recognition rate = 92.7%
Model 36/63: 7, 10, 13 --> Recognition rate = 96.6%
Currently selected inputs:  7, 10, 13

Selecting input 4:
Model 37/63: 7, 10, 13,  1 --> Recognition rate = 94.9%
Model 38/63: 7, 10, 13,  2 --> Recognition rate = 94.9%
Model 39/63: 7, 10, 13,  3 --> Recognition rate = 94.4%
Model 40/63: 7, 10, 13,  4 --> Recognition rate = 93.3%
Model 41/63: 7, 10, 13,  5 --> Recognition rate = 95.5%
Model 42/63: 7, 10, 13,  6 --> Recognition rate = 94.9%
Model 43/63: 7, 10, 13,  8 --> Recognition rate = 94.9%
Model 44/63: 7, 10, 13,  9 --> Recognition rate = 93.8%
Model 45/63: 7, 10, 13, 11 --> Recognition rate = 96.6%
Model 46/63: 7, 10, 13, 12 --> Recognition rate = 95.5%
Currently selected inputs:  7, 10, 13, 11

Selecting input 5:
Model 47/63: 7, 10, 13, 11,  1 --> Recognition rate = 97.2%
Model 48/63: 7, 10, 13, 11,  2 --> Recognition rate = 96.6%
Model 49/63: 7, 10, 13, 11,  3 --> Recognition rate = 94.4%
Model 50/63: 7, 10, 13, 11,  4 --> Recognition rate = 95.5%
Model 51/63: 7, 10, 13, 11,  5 --> Recognition rate = 94.9%
Model 52/63: 7, 10, 13, 11,  6 --> Recognition rate = 93.8%
Model 53/63: 7, 10, 13, 11,  8 --> Recognition rate = 93.3%
Model 54/63: 7, 10, 13, 11,  9 --> Recognition rate = 94.9%
Model 55/63: 7, 10, 13, 11, 12 --> Recognition rate = 94.9%
Currently selected inputs:  7, 10, 13, 11,  1

Selecting input 6:
Model 56/63: 7, 10, 13, 11,  1,  2 --> Recognition rate = 97.2%
Model 57/63: 7, 10, 13, 11,  1,  3 --> Recognition rate = 97.2%
Model 58/63: 7, 10, 13, 11,  1,  4 --> Recognition rate = 96.6%
Model 59/63: 7, 10, 13, 11,  1,  5 --> Recognition rate = 97.8%
Model 60/63: 7, 10, 13, 11,  1,  6 --> Recognition rate = 96.6%
Model 61/63: 7, 10, 13, 11,  1,  8 --> Recognition rate = 97.2%
Model 62/63: 7, 10, 13, 11,  1,  9 --> Recognition rate = 96.6%
Model 63/63: 7, 10, 13, 11,  1, 12 --> Recognition rate = 96.6%
Currently selected inputs:  7, 10, 13, 11,  1,  5

Overall maximal recognition rate = 97.8%.
Overall selected inputs:  7, 10, 13, 11,  1,  5