what should be the program for following output?

Sr.no  Threshold  TP  TN  FP  FN  FAR  FRR  GAR
1  0  0  100  0  100  0  1  0
2  0.1  19  100  0  81  0  0.81  19
3  0.15  62  99  1  38  0.01  0.38  62
4  0.2  81  94  6  19  0.06  0.19  81
5  0.25  95  54  46  5  0.46  0.05  95
6  0.3  99  30  70  1  0.7  0.01  99
7  0.4  100  21  79  0  0.79  0  100
8  0.5  100  3  97  0  0.97  0  100
9  0.55  100  0  100  0  1  0  100
10  0.6  100  0  100  0  1  0  100
11  0.7  100  0  100  0  1  0  100
12  0.8  100  0  100  0  1  0  100
13  0.9  100  0  100  0  1  0  100
14  1  100  0  100  0  1  0  100

[PromoCodeBSJ]

Just hard code it

Answer 1

[Andrei Bobrov]

>> a0 = {'Sr_no'  'Threshold'  'TP'  'TN'  'FP'  'FN'  'FAR'  'FRR'  'GAR'};
a=[1  0  0  100  0  100  0  1  0
2  0.1  19  100  0  81  0  0.81  19
3  0.15  62  99  1  38  0.01  0.38  62
4  0.2  81  94  6  19  0.06  0.19  81
5  0.25  95  54  46  5  0.46  0.05  95
6  0.3  99  30  70  1  0.7  0.01  99
7  0.4  100  21  79  0  0.79  0  100
8  0.5  100  3  97  0  0.97  0  100
9  0.55  100  0  100  0  1  0  100
10  0.6  100  0  100  0  1  0  100
11  0.7  100  0  100  0  1  0  100
12  0.8  100  0  100  0  1  0  100
13  0.9  100  0  100  0  1  0  100
14  1  100  0  100  0  1  0  100];
>> T = array2table(a,'v',a0)

[Balaji M. Sontakke]

sir, actually am having multiclass confusion matrix(see following table ), I want to convert this matrix into above table which calculates threshold TP TN FP FN like that) TruePositive FalsePositive FalseNegative TrueNegative ____________ _____________ _____________ ____________ Actual_class1 4 1 0 395 Actual_class2 4 0 0 396 Actual_class3 4 0 0 396 Actual_class4 4 0 0 396 Actual_class5 4 0 0 396 Actual_class6 4 0 0 396 Actual_class7 4 0 0 396 Actual_class8 4 0 0 396 Actual_class9 4 0 0 396 Actual_class10 3 0 1 396 Actual_class11 4 0 0 396 Actual_class12 3 0 1 396 Actual_class13 4 0 0 396 Actual_class14 4 0 0 396 Actual_class15 4 1 0 395 Actual_class16 4 0 0 396 Actual_class17 4 1 0 395 Actual_class18 4 0 0 396 Actual_class19 4 0 0 396 Actual_class20 4 0 0 396 Actual_class21 4 0 0 396 Actual_class22 4 0 0 396 Actual_class23 4 0 0 396 Actual_class24 2 0 2 396 Actual_class25 4 0 0 396 Actual_class26 4 0 0 396 Actual_class27 4 0 0 396 Actual_class28 4 0 0 396 Actual_class29 3 0 1 396 Actual_class30 4 1 0 395 Actual_class31 4 1 0 395 Actual_class32 4 1 0 395 Actual_class33 4 0 0 396 Actual_class34 4 0 0 396 Actual_class35 4 0 0 396 Actual_class36 3 0 1 396 Actual_class37 4 0 0 396 Actual_class38 4 0 0 396 Actual_class39 4 1 0 395 Actual_class40 4 1 0 395 Actual_class41 4 0 0 396 Actual_class42 3 1 1 395 Actual_class43 4 0 0 396 Actual_class44 4 0 0 396 Actual_class45 4 0 0 396 Actual_class46 4 0 0 396 Actual_class47 4 0 0 396 Actual_class48 4 0 0 396 Actual_class49 3 0 1 396 Actual_class50 4 0 0 396 Actual_class51 4 0 0 396 Actual_class52 4 0 0 396 Actual_class53 3 0 1 396 Actual_class54 4 0 0 396 Actual_class55 4 0 0 396 Actual_class56 4 0 0 396 Actual_class57 3 0 1 396 Actual_class58 4 0 0 396 Actual_class59 4 0 0 396 Actual_class60 3 0 1 396 Actual_class61 4 0 0 396 Actual_class62 4 1 0 395 Actual_class63 4 0 0 396 Actual_class64 4 0 0 396 Actual_class65 4 0 0 396 Actual_class66 4 0 0 396 Actual_class67 4 0 0 396 Actual_class68 4 0 0 396 Actual_class69 4 0 0 396 Actual_class70 4 0 0 396 Actual_class71 4 0 0 396 Actual_class72 4 0 0 396 Actual_class73 4 0 0 396 Actual_class74 4 1 0 395 Actual_class75 4 0 0 396 Actual_class76 4 0 0 396 Actual_class77 4 0 0 396 Actual_class78 3 0 1 396 Actual_class79 4 0 0 396 Actual_class80 4 0 0 396 Actual_class81 4 0 0 396 Actual_class82 4 0 0 396 Actual_class83 4 0 0 396 Actual_class84 4 0 0 396 Actual_class85 4 0 0 396 Actual_class86 4 0 0 396 Actual_class87 4 0 0 396 Actual_class88 4 0 0 396 Actual_class89 4 1 0 395 Actual_class90 4 0 0 396 Actual_class91 4 0 0 396 Actual_class92 4 0 0 396 Actual_class93 4 0 0 396 Actual_class94 4 0 0 396 Actual_class95 4 0 0 396 Actual_class96 4 0 0 396 Actual_class97 4 0 0 396 Actual_class98 4 0 0 396 Actual_class99 4 0 0 396 Actual_class100 4 0 0 396