-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathHybCNN.csv
We can make this file beautiful and searchable if this error is corrected: No commas found in this CSV file in line 0.
95 lines (89 loc) · 4.37 KB
/
HybCNN.csv
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
83.13330101966858 Tr_Time
0.7958016395568848 Va_Time
5.473775863647461 Te_Time
83.93779635429382 HSI_Time
2.59328556060791 DL_Time
99.69 Va Kappa (%)
99.77000000000001 Va Overall (%)
99.53 VA Average (%)
99.73 Te Kappa (%)
99.79 Te Overall (%)
99.64 Te Average (%)
99.88 HSI Kappa (%)
99.96287367405978 HSI Overall (%)
99.69 HSI Average (%)
precision recall f1-score support
Asphalt 0.99 1.00 1.00 995
Meadows 1.00 1.00 1.00 2797
Gravel 1.00 0.98 0.99 315
Trees 1.00 0.99 0.99 460
Painted 1.00 1.00 1.00 202
Soil 1.00 1.00 1.00 754
Bitumen 1.00 0.99 1.00 200
Bricks 0.99 0.99 0.99 552
Shadows 1.00 0.99 1.00 142
accuracy 1.00 6417
macro avg 1.00 1.00 1.00 6417
weighted avg 1.00 1.00 1.00 6417
VA Classification
[100. 99.96424741 98.41269841 99.13043478 100.
100. 99.5 99.45652174 99.29577465] VA Per Class
[[ 995 0 0 0 0 0 0 0 0]
[ 0 2796 0 1 0 0 0 0 0]
[ 0 0 310 0 0 0 0 5 0]
[ 2 0 0 456 0 0 0 2 0]
[ 0 0 0 0 202 0 0 0 0]
[ 0 0 0 0 0 754 0 0 0]
[ 0 0 0 0 0 0 199 1 0]
[ 2 0 1 0 0 0 0 549 0]
[ 1 0 0 0 0 0 0 0 141]] VA Confussion
precision recall f1-score support
Asphalt 1.00 1.00 1.00 4642
Meadows 1.00 1.00 1.00 13055
Gravel 0.99 0.99 0.99 1470
Trees 1.00 0.99 1.00 2145
Painted 1.00 1.00 1.00 942
Soil 1.00 1.00 1.00 3521
Bitumen 1.00 1.00 1.00 931
Bricks 0.99 0.99 0.99 2578
Shadows 1.00 1.00 1.00 663
accuracy 1.00 29947
macro avg 1.00 1.00 1.00 29947
weighted avg 1.00 1.00 1.00 29947
Te Classification
[ 99.82766049 99.9923401 98.50340136 99.48717949 100.
100. 99.78517723 99.34057409 99.84917044] Te Per Class
[[ 4634 0 0 0 0 0 0 8 0]
[ 0 13054 0 1 0 0 0 0 0]
[ 3 0 1448 0 0 0 0 19 0]
[ 6 2 0 2134 0 0 0 3 0]
[ 0 0 0 0 942 0 0 0 0]
[ 0 0 0 0 0 3521 0 0 0]
[ 0 0 0 0 0 0 929 2 0]
[ 5 0 11 0 0 1 0 2561 0]
[ 0 0 0 0 1 0 0 0 662]] Te Confussion
precision recall f1-score support
Asphalt 1.00 1.00 1.00 171255
Meadows 1.00 1.00 1.00 18649
Gravel 0.99 0.99 0.99 2099
Trees 1.00 1.00 1.00 3064
Painted 1.00 1.00 1.00 1345
Soil 1.00 1.00 1.00 5029
Bitumen 1.00 1.00 1.00 1330
Bricks 0.99 0.99 0.99 3682
Shadows 1.00 1.00 1.00 947
accuracy 1.00 207400
macro avg 1.00 1.00 1.00 207400
weighted avg 1.00 1.00 1.00 207400
HSI Classification
[ 99.9953286 99.98927556 98.71367318 99.51044386 100.
100. 99.77443609 99.45681695 99.78880676] HSI Per Class
[[171247 0 0 0 0 0 0 8 0]
[ 0 18647 0 2 0 0 0 0 0]
[ 3 0 2072 0 0 0 0 24 0]
[ 8 2 0 3049 0 0 0 5 0]
[ 0 0 0 0 1345 0 0 0 0]
[ 0 0 0 0 0 5029 0 0 0]
[ 0 0 0 0 0 0 1327 3 0]
[ 7 0 12 0 0 1 0 3662 0]
[ 1 0 0 0 1 0 0 0 945]] HSI Confussion