Hello ,
is there normal i have 0.008 for kappa
at the fonction
otbcli_ComputeConfusionMatrix.bat -in classif_reg.tif -ref vector
-ref.vector.in
training_range_rpg.shp -out confusion.csv -ref.vector.field code
it's not 0,8 ????
2016 Nov 09 11:37:58 : Application.logger (INFO) Kappa index: 0.00853711
see below my confusion matrix ...
surely that my work must be improved !! , cause my kappa is bad .....
many thanks
2016 Nov 09 11:37:58 : Application.logger (INFO) Produced class labels
ordered according to the columns of the output confusion matrix: #Produced
labels (columns):1,2,3,4,5,6,8,13,15,16,17,18,19,20,21,22,23,24,25,27,28
2016 Nov 09 11:37:58 : Application.logger (INFO) Confusion matrix (rows
= reference labels, columns = produced labels):
[ 1] [ 2] [ 3] [ 4] [ 5] [ 6] [13] [16] [17] [18] [19] [20] [21] [22]
[23] [24] [25] [27] [28]
[ 1] 0 0 7 1 0 0 0 1 0 0 0 0 0
0 0 0 0 49 0
[ 2] 0 39 0 0 0 3 0 0 0 0 0 0 0
0 0 0 0 1 0
[ 3] 0 0 2 0 0 0 0 0 0 0 0 0 0
1 0 1 0 0 0
[ 4] 10 159 87 42 57 475 0 54 0 0 0 0 5
32 1 101 0 207 10
[ 5] 0 0 0 0 5 0 0 0 0 0 0 0 0
0 0 1 0 0 0
[ 6] 0 12 0 0 0 13 0 2 0 0 0 0 0
0 0 1 1 28 0
[13] 0 17 70 84 22 196 0 37 0 1 0 5 27
25 0 17 1 79 3
[16] 0 0 12 10 0 8 0 73 0 1 0 0 0
5 2 4 0 13 1
[17] 9 39 804 61 31 238 0 181 2 29 0 676 10
32 0 29 51 201 15
[18] 0 6 25 159 0 93 59 239 0 3 6 89 2
118 1 20 0 75 0
[19] 0 110 45 48 11 67 0 22 0 0 0 3 0
38 0 13 0 55 4
[20] 3 32 69 182 2 78 6 448 0 6 1 13 1
14 5 38 2 263 10
[21] 10 5 263 97 389 77 0 89 0 13 0 0 38
5 8 144 4 1256 122
[22] 0 3 2 0 0 0 0 0 0 0 0 0 0
13 0 0 0 0 0
[23] 9 3 152 41 0 58 0 78 0 8 0 5 12
19 0 17 0 153 2
[24] 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 2 0 0 0
[25] 3 34 86 134 33 456 23 204 0 55 3 1 2
96 32 237 14 389 41
[27] 0 0 11 3 0 7 0 1 0 0 0 0 0
0 0 1 0 53 3
[28] 26 947 872 567 217 1571 10 868 0 43 24 120 90
182 22 434 31 1543 286
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [1]
vs all: 0
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [1] vs
all: 0
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [1] vs
all: 0
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [2]
vs all: 0.0277383
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [2] vs
all: 0.906977
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [2] vs
all: 0.0538302
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [3]
vs all: 0.000797766
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [3] vs
all: 0.5
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [3] vs
all: 0.00159299
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [4]
vs all: 0.0293912
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [4] vs
all: 0.033871
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [4] vs
all: 0.0314725
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [5]
vs all: 0.0065189
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [5] vs
all: 0.833333
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [5] vs
all: 0.0129366
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [6]
vs all: 0.00389222
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [6] vs
all: 0.22807
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [6] vs
all: 0.00765381
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [13]
vs all: 0
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [13] vs
all: 0
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [13]
vs all: 0
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [16]
vs all: 0.0317806
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [16] vs
all: 0.565891
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [16]
vs all: 0.0601814
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [17]
vs all: 1
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [17] vs
all: 0.000830565
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [17]
vs all: 0.00165975
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [18]
vs all: 0.0188679
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [18] vs
all: 0.00335196
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [18]
vs all: 0.0056926
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [19]
vs all: 0
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [19] vs
all: 0
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [19]
vs all: 0
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [20]
vs all: 0.0142544
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [20] vs
all: 0.0110827
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [20]
vs all: 0.01247
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [21]
vs all: 0.203209
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [21] vs
all: 0.0150794
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [21]
vs all: 0.0280754
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [22]
vs all: 0.0224138
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [22] vs
all: 0.722222
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [22]
vs all: 0.0434783
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [23]
vs all: 0
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [23] vs
all: 0
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [23]
vs all: 0
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [24]
vs all: 0.00188679
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [24] vs
all: 1
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [24]
vs all: 0.00376648
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [25]
vs all: 0.134615
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [25] vs
all: 0.00759631
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [25]
vs all: 0.0143811
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [27]
vs all: 0.012142
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [27] vs
all: 0.670886
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [27]
vs all: 0.0238524
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of class [28]
vs all: 0.575453
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of class [28] vs
all: 0.0364192
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of class [28]
vs all: 0.068503
2016 Nov 09 11:37:58 : Application.logger (INFO) Precision of the
different classes: [0, 0.0277383, 0.000797766, 0.0293912, 0.0065189,
0.00389222, 0, 0.0317806, 1, 0.0188679, 0, 0.0142544, 0.203209, 0.0224138,
0, 0.00188679, 0.134615, 0.012142, 0.575453]
2016 Nov 09 11:37:58 : Application.logger (INFO) Recall of the different
classes: [0, 0.906977, 0.5, 0.033871, 0.833333, 0.22807, 0, 0.565891,
0.000830565, 0.00335196, 0, 0.0110827, 0.0150794, 0.722222, 0, 1,
0.00759631, 0.670886, 0.0364192]
2016 Nov 09 11:37:58 : Application.logger (INFO) F-score of the
different classes: [0, 0.0538302, 0.00159299, 0.0314725, 0.0129366,
0.00765381, 0, 0.0601814, 0.00165975, 0.0056926, 0, 0.01247, 0.0280754,
0.0434783, 0, 0.00376648, 0.0143811, 0.0238524, 0.068503]
2016 Nov 09 11:37:58 : Application.logger (INFO) Kappa index: 0.00853711
2016 Nov 09 11:37:58 : Application.logger (INFO) Overall accuracy index:
0.0300729
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