Commit Inicial

This commit is contained in:
2020-11-20 11:23:40 +01:00
commit 5611e5bc01
2914 changed files with 2625178 additions and 0 deletions

2
data/tanveer/zoo/conxuntos.dat Executable file
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63 3 1 22 49 28 32 9 6 17 67 65 44 70 45 94 93 74 47 4 33 16 79 56 87 21 71 83 43 23 90 80 76 61 2 38 73 60 7 82 89 25 42 30 39 40 14 81 13 53 72
68 84 27 66 35 36 31 98 96 0 29 48 75 5 19 10 69 50 64 55 54 78 41 37 58 20 11 95 57 59 100 91 62 8 86 12 92 18 34 26 52 51 97 24 88 99 15 46 77 85

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94 66 55 27 9 19 22 63 75 32 31 10 5 6 54 65 74 64 17 69 49 48 68 3 84 67 35 70 96 0 23 37 57 95 100 78 33 21 87 41 16 20 59 43 58 76 80 62 90 86 82 60 8 12 2 18 61 7 73 25 52 89 24 30 88 40 97 42 13 53 81 85 77 46 72 15
4 44 28 36 93 29 1 47 45 50 98 71 83 79 11 56 91 34 92 38 26 39 51 99 14
29 65 28 74 54 93 45 9 4 98 27 36 44 69 3 5 10 47 35 70 50 48 94 31 84 49 19 75 68 6 41 59 83 79 56 95 57 71 43 20 33 58 23 16 78 62 80 91 90 73 82 38 7 86 92 34 8 60 2 25 89 52 24 39 42 97 40 30 14 77 13 99 72 15 81 85
1 0 64 96 55 17 67 32 22 66 63 87 37 11 21 100 76 18 61 12 26 88 51 53 46
29 65 4 28 55 74 63 50 45 31 75 17 49 27 22 35 5 66 48 54 9 36 6 70 3 69 32 93 94 44 59 41 57 58 56 83 21 78 37 23 95 11 33 20 71 80 90 76 91 34 8 86 2 92 38 73 60 18 61 26 25 52 51 30 24 97 39 42 14 15 13 99 81 72 77 85
19 67 64 96 10 1 47 68 98 0 84 87 16 79 43 100 62 7 82 12 89 40 88 53 46
3 0 84 19 31 4 48 63 36 69 93 44 27 49 70 98 68 1 32 17 55 29 74 66 67 65 50 28 35 22 95 16 41 23 87 11 20 79 57 71 37 78 83 33 21 62 76 90 91 60 34 7 18 82 2 38 73 61 92 25 89 52 42 88 24 97 51 40 15 46 14 85 81 13 72 99
5 9 64 75 47 94 45 96 54 10 6 56 43 59 58 100 80 86 12 8 26 39 30 77 53

23
data/tanveer/zoo/le_datos.m Executable file
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printf('lendo problema %s ...\n', problema);
n_entradas= 16; n_clases= 7; n_fich= 1; fich{1}= 'zoo.data'; n_patrons(1)= 101;
n_max= max(n_patrons);
x = zeros(n_fich, n_max, n_entradas); cl= zeros(n_fich, n_max);
n_patrons_total = sum(n_patrons); n_iter=0;
for i_fich=1:n_fich
f=fopen(fich{i_fich}, 'r');
if -1==f
error('erro en fopen abrindo %s\n', fich{i_fich});
end
for i=1:n_patrons(i_fich)
fprintf(2,'%5.1f%%\r', 100*n_iter++/n_patrons_total);
fscanf(f,'%s',1); % le e descarta o nome do animal
for j = 1:n_entradas
x(i_fich,i,j) = fscanf(f,'%i',1);
end
cl(i_fich,i) = fscanf(f,'%i',1) - 1; % lectura da clase
end
fclose(f);
end

120
data/tanveer/zoo/zoo.arff Executable file
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@relation zoo
@attribute 'f1' real
@attribute 'f2' real
@attribute 'f3' real
@attribute 'f4' real
@attribute 'f5' real
@attribute 'f6' real
@attribute 'f7' real
@attribute 'f8' real
@attribute 'f9' real
@attribute 'f10' real
@attribute 'f11' real
@attribute 'f12' real
@attribute 'f13' real
@attribute 'f14' real
@attribute 'f15' real
@attribute 'f16' real
@attribute 'clase' {0,1,2,3,4,5,6}
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10
data/tanveer/zoo/zoo.cost Executable file
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% Rows Columns
7 7
% Matrix elements
0.0 1.0 1.0 1.0 1.0 1.0 1.0
1.0 0.0 1.0 1.0 1.0 1.0 1.0
1.0 1.0 0.0 1.0 1.0 1.0 1.0
1.0 1.0 1.0 0.0 1.0 1.0 1.0
1.0 1.0 1.0 1.0 0.0 1.0 1.0
1.0 1.0 1.0 1.0 1.0 0.0 1.0
1.0 1.0 1.0 1.0 1.0 1.0 0.0

101
data/tanveer/zoo/zoo.data Executable file
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aardvark 1 0 0 1 0 0 1 1 1 1 0 0 4 0 0 1 1
antelope 1 0 0 1 0 0 0 1 1 1 0 0 4 1 0 1 1
bass 0 0 1 0 0 1 1 1 1 0 0 1 0 1 0 0 4
bear 1 0 0 1 0 0 1 1 1 1 0 0 4 0 0 1 1
boar 1 0 0 1 0 0 1 1 1 1 0 0 4 1 0 1 1
buffalo 1 0 0 1 0 0 0 1 1 1 0 0 4 1 0 1 1
calf 1 0 0 1 0 0 0 1 1 1 0 0 4 1 1 1 1
carp 0 0 1 0 0 1 0 1 1 0 0 1 0 1 1 0 4
catfish 0 0 1 0 0 1 1 1 1 0 0 1 0 1 0 0 4
cavy 1 0 0 1 0 0 0 1 1 1 0 0 4 0 1 0 1
cheetah 1 0 0 1 0 0 1 1 1 1 0 0 4 1 0 1 1
chicken 0 1 1 0 1 0 0 0 1 1 0 0 2 1 1 0 2
chub 0 0 1 0 0 1 1 1 1 0 0 1 0 1 0 0 4
clam 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 7
crab 0 0 1 0 0 1 1 0 0 0 0 0 4 0 0 0 7
crayfish 0 0 1 0 0 1 1 0 0 0 0 0 6 0 0 0 7
crow 0 1 1 0 1 0 1 0 1 1 0 0 2 1 0 0 2
deer 1 0 0 1 0 0 0 1 1 1 0 0 4 1 0 1 1
dogfish 0 0 1 0 0 1 1 1 1 0 0 1 0 1 0 1 4
dolphin 0 0 0 1 0 1 1 1 1 1 0 1 0 1 0 1 1
dove 0 1 1 0 1 0 0 0 1 1 0 0 2 1 1 0 2
duck 0 1 1 0 1 1 0 0 1 1 0 0 2 1 0 0 2
elephant 1 0 0 1 0 0 0 1 1 1 0 0 4 1 0 1 1
flamingo 0 1 1 0 1 0 0 0 1 1 0 0 2 1 0 1 2
flea 0 0 1 0 0 0 0 0 0 1 0 0 6 0 0 0 6
frog 0 0 1 0 0 1 1 1 1 1 0 0 4 0 0 0 5
frog 0 0 1 0 0 1 1 1 1 1 1 0 4 0 0 0 5
fruitbat 1 0 0 1 1 0 0 1 1 1 0 0 2 1 0 0 1
giraffe 1 0 0 1 0 0 0 1 1 1 0 0 4 1 0 1 1
girl 1 0 0 1 0 0 1 1 1 1 0 0 2 0 1 1 1
gnat 0 0 1 0 1 0 0 0 0 1 0 0 6 0 0 0 6
goat 1 0 0 1 0 0 0 1 1 1 0 0 4 1 1 1 1
gorilla 1 0 0 1 0 0 0 1 1 1 0 0 2 0 0 1 1
gull 0 1 1 0 1 1 1 0 1 1 0 0 2 1 0 0 2
haddock 0 0 1 0 0 1 0 1 1 0 0 1 0 1 0 0 4
hamster 1 0 0 1 0 0 0 1 1 1 0 0 4 1 1 0 1
hare 1 0 0 1 0 0 0 1 1 1 0 0 4 1 0 0 1
hawk 0 1 1 0 1 0 1 0 1 1 0 0 2 1 0 0 2
herring 0 0 1 0 0 1 1 1 1 0 0 1 0 1 0 0 4
honeybee 1 0 1 0 1 0 0 0 0 1 1 0 6 0 1 0 6
housefly 1 0 1 0 1 0 0 0 0 1 0 0 6 0 0 0 6
kiwi 0 1 1 0 0 0 1 0 1 1 0 0 2 1 0 0 2
ladybird 0 0 1 0 1 0 1 0 0 1 0 0 6 0 0 0 6
lark 0 1 1 0 1 0 0 0 1 1 0 0 2 1 0 0 2
leopard 1 0 0 1 0 0 1 1 1 1 0 0 4 1 0 1 1
lion 1 0 0 1 0 0 1 1 1 1 0 0 4 1 0 1 1
lobster 0 0 1 0 0 1 1 0 0 0 0 0 6 0 0 0 7
lynx 1 0 0 1 0 0 1 1 1 1 0 0 4 1 0 1 1
mink 1 0 0 1 0 1 1 1 1 1 0 0 4 1 0 1 1
mole 1 0 0 1 0 0 1 1 1 1 0 0 4 1 0 0 1
mongoose 1 0 0 1 0 0 1 1 1 1 0 0 4 1 0 1 1
moth 1 0 1 0 1 0 0 0 0 1 0 0 6 0 0 0 6
newt 0 0 1 0 0 1 1 1 1 1 0 0 4 1 0 0 5
octopus 0 0 1 0 0 1 1 0 0 0 0 0 8 0 0 1 7
opossum 1 0 0 1 0 0 1 1 1 1 0 0 4 1 0 0 1
oryx 1 0 0 1 0 0 0 1 1 1 0 0 4 1 0 1 1
ostrich 0 1 1 0 0 0 0 0 1 1 0 0 2 1 0 1 2
parakeet 0 1 1 0 1 0 0 0 1 1 0 0 2 1 1 0 2
penguin 0 1 1 0 0 1 1 0 1 1 0 0 2 1 0 1 2
pheasant 0 1 1 0 1 0 0 0 1 1 0 0 2 1 0 0 2
pike 0 0 1 0 0 1 1 1 1 0 0 1 0 1 0 1 4
piranha 0 0 1 0 0 1 1 1 1 0 0 1 0 1 0 0 4
pitviper 0 0 1 0 0 0 1 1 1 1 1 0 0 1 0 0 3
platypus 1 0 1 1 0 1 1 0 1 1 0 0 4 1 0 1 1
polecat 1 0 0 1 0 0 1 1 1 1 0 0 4 1 0 1 1
pony 1 0 0 1 0 0 0 1 1 1 0 0 4 1 1 1 1
porpoise 0 0 0 1 0 1 1 1 1 1 0 1 0 1 0 1 1
puma 1 0 0 1 0 0 1 1 1 1 0 0 4 1 0 1 1
pussycat 1 0 0 1 0 0 1 1 1 1 0 0 4 1 1 1 1
raccoon 1 0 0 1 0 0 1 1 1 1 0 0 4 1 0 1 1
reindeer 1 0 0 1 0 0 0 1 1 1 0 0 4 1 1 1 1
rhea 0 1 1 0 0 0 1 0 1 1 0 0 2 1 0 1 2
scorpion 0 0 0 0 0 0 1 0 0 1 1 0 8 1 0 0 7
seahorse 0 0 1 0 0 1 0 1 1 0 0 1 0 1 0 0 4
seal 1 0 0 1 0 1 1 1 1 1 0 1 0 0 0 1 1
sealion 1 0 0 1 0 1 1 1 1 1 0 1 2 1 0 1 1
seasnake 0 0 0 0 0 1 1 1 1 0 1 0 0 1 0 0 3
seawasp 0 0 1 0 0 1 1 0 0 0 1 0 0 0 0 0 7
skimmer 0 1 1 0 1 1 1 0 1 1 0 0 2 1 0 0 2
skua 0 1 1 0 1 1 1 0 1 1 0 0 2 1 0 0 2
slowworm 0 0 1 0 0 0 1 1 1 1 0 0 0 1 0 0 3
slug 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 7
sole 0 0 1 0 0 1 0 1 1 0 0 1 0 1 0 0 4
sparrow 0 1 1 0 1 0 0 0 1 1 0 0 2 1 0 0 2
squirrel 1 0 0 1 0 0 0 1 1 1 0 0 2 1 0 0 1
starfish 0 0 1 0 0 1 1 0 0 0 0 0 5 0 0 0 7
stingray 0 0 1 0 0 1 1 1 1 0 1 1 0 1 0 1 4
swan 0 1 1 0 1 1 0 0 1 1 0 0 2 1 0 1 2
termite 0 0 1 0 0 0 0 0 0 1 0 0 6 0 0 0 6
toad 0 0 1 0 0 1 0 1 1 1 0 0 4 0 0 0 5
tortoise 0 0 1 0 0 0 0 0 1 1 0 0 4 1 0 1 3
tuatara 0 0 1 0 0 0 1 1 1 1 0 0 4 1 0 0 3
tuna 0 0 1 0 0 1 1 1 1 0 0 1 0 1 0 1 4
vampire 1 0 0 1 1 0 0 1 1 1 0 0 2 1 0 0 1
vole 1 0 0 1 0 0 0 1 1 1 0 0 4 1 0 0 1
vulture 0 1 1 0 1 0 1 0 1 1 0 0 2 1 0 1 2
wallaby 1 0 0 1 0 0 0 1 1 1 0 0 2 1 0 1 1
wasp 1 0 1 0 1 0 0 0 0 1 1 0 6 0 0 0 6
wolf 1 0 0 1 0 0 1 1 1 1 0 0 4 1 0 1 1
worm 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 7
wren 0 1 1 0 1 0 0 0 1 1 0 0 2 1 0 0 2

68
data/tanveer/zoo/zoo.names Executable file
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1. Title: Zoo database
2. Source Information
-- Creator: Richard Forsyth
-- Donor: Richard S. Forsyth
8 Grosvenor Avenue
Mapperley Park
Nottingham NG3 5DX
0602-621676
-- Date: 5/15/1990
3. Past Usage:
-- None known other than what is shown in Forsyth's PC/BEAGLE User's Guide.
4. Relevant Information:
-- A simple database containing 17 Boolean-valued attributes. The "type"
attribute appears to be the class attribute. Here is a breakdown of
which animals are in which type: (I find it unusual that there are
2 instances of "frog" and one of "girl"!)
Class# Set of animals:
====== ===============================================================
1 (41) aardvark, antelope, bear, boar, buffalo, calf,
cavy, cheetah, deer, dolphin, elephant,
fruitbat, giraffe, girl, goat, gorilla, hamster,
hare, leopard, lion, lynx, mink, mole, mongoose,
opossum, oryx, platypus, polecat, pony,
porpoise, puma, pussycat, raccoon, reindeer,
seal, sealion, squirrel, vampire, vole, wallaby,wolf
2 (20) chicken, crow, dove, duck, flamingo, gull, hawk,
kiwi, lark, ostrich, parakeet, penguin, pheasant,
rhea, skimmer, skua, sparrow, swan, vulture, wren
3 (5) pitviper, seasnake, slowworm, tortoise, tuatara
4 (13) bass, carp, catfish, chub, dogfish, haddock,
herring, pike, piranha, seahorse, sole, stingray, tuna
5 (4) frog, frog, newt, toad
6 (8) flea, gnat, honeybee, housefly, ladybird, moth, termite, wasp
7 (10) clam, crab, crayfish, lobster, octopus,
scorpion, seawasp, slug, starfish, worm
5. Number of Instances: 101
6. Number of Attributes: 18 (animal name, 15 Boolean attributes, 2 numerics)
7. Attribute Information: (name of attribute and type of value domain)
1. animal name: Unique for each instance
2. hair Boolean
3. feathers Boolean
4. eggs Boolean
5. milk Boolean
6. airborne Boolean
7. aquatic Boolean
8. predator Boolean
9. toothed Boolean
10. backbone Boolean
11. breathes Boolean
12. venomous Boolean
13. fins Boolean
14. legs Numeric (set of values: {0,2,4,5,6,8})
15. tail Boolean
16. domestic Boolean
17. catsize Boolean
18. type Numeric (integer values in range [1,7])
8. Missing Attribute Values: None
9. Class Distribution: Given above

8
data/tanveer/zoo/zoo.txt Executable file
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n_entradas= 16
n_clases= 7
n_arquivos= 1
fich1= zoo_R.dat
n_patrons1= 101
n_patrons_entrena= 51
n_patrons_valida= 50
n_conxuntos= 1

102
data/tanveer/zoo/zoo_R.dat Executable file
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f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13 f14 f15 f16 clase
1 1.15563 -0.494438 -1.17934 1.20371 -0.55552 -0.740515 0.891973 0.805758 0.463379 0.509805 -0.291839 -0.447635 0.569698 -1.68999 -0.382446 1.13253 0
2 1.15563 -0.494438 -1.17934 1.20371 -0.55552 -0.740515 -1.11001 0.805758 0.463379 0.509805 -0.291839 -0.447635 0.569698 0.585862 -0.382446 1.13253 0
3 -0.856761 -0.494438 0.839533 -0.822537 -0.55552 1.33704 0.891973 0.805758 0.463379 -1.94211 -0.291839 2.21184 -1.39747 0.585862 -0.382446 -0.874235 3
4 1.15563 -0.494438 -1.17934 1.20371 -0.55552 -0.740515 0.891973 0.805758 0.463379 0.509805 -0.291839 -0.447635 0.569698 -1.68999 -0.382446 1.13253 0
5 1.15563 -0.494438 -1.17934 1.20371 -0.55552 -0.740515 0.891973 0.805758 0.463379 0.509805 -0.291839 -0.447635 0.569698 0.585862 -0.382446 1.13253 0
6 1.15563 -0.494438 -1.17934 1.20371 -0.55552 -0.740515 -1.11001 0.805758 0.463379 0.509805 -0.291839 -0.447635 0.569698 0.585862 -0.382446 1.13253 0
7 1.15563 -0.494438 -1.17934 1.20371 -0.55552 -0.740515 -1.11001 0.805758 0.463379 0.509805 -0.291839 -0.447635 0.569698 0.585862 2.58886 1.13253 0
8 -0.856761 -0.494438 0.839533 -0.822537 -0.55552 1.33704 -1.11001 0.805758 0.463379 -1.94211 -0.291839 2.21184 -1.39747 0.585862 2.58886 -0.874235 3
9 -0.856761 -0.494438 0.839533 -0.822537 -0.55552 1.33704 0.891973 0.805758 0.463379 -1.94211 -0.291839 2.21184 -1.39747 0.585862 -0.382446 -0.874235 3
10 1.15563 -0.494438 -1.17934 1.20371 -0.55552 -0.740515 -1.11001 0.805758 0.463379 0.509805 -0.291839 -0.447635 0.569698 -1.68999 2.58886 -0.874235 0
11 1.15563 -0.494438 -1.17934 1.20371 -0.55552 -0.740515 0.891973 0.805758 0.463379 0.509805 -0.291839 -0.447635 0.569698 0.585862 -0.382446 1.13253 0
12 -0.856761 2.00247 0.839533 -0.822537 1.78229 -0.740515 -1.11001 -1.22878 0.463379 0.509805 -0.291839 -0.447635 -0.413883 0.585862 2.58886 -0.874235 1
13 -0.856761 -0.494438 0.839533 -0.822537 -0.55552 1.33704 0.891973 0.805758 0.463379 -1.94211 -0.291839 2.21184 -1.39747 0.585862 -0.382446 -0.874235 3
14 -0.856761 -0.494438 0.839533 -0.822537 -0.55552 -0.740515 0.891973 -1.22878 -2.13669 -1.94211 -0.291839 -0.447635 -1.39747 -1.68999 -0.382446 -0.874235 6
15 -0.856761 -0.494438 0.839533 -0.822537 -0.55552 1.33704 0.891973 -1.22878 -2.13669 -1.94211 -0.291839 -0.447635 0.569698 -1.68999 -0.382446 -0.874235 6
16 -0.856761 -0.494438 0.839533 -0.822537 -0.55552 1.33704 0.891973 -1.22878 -2.13669 -1.94211 -0.291839 -0.447635 1.55328 -1.68999 -0.382446 -0.874235 6
17 -0.856761 2.00247 0.839533 -0.822537 1.78229 -0.740515 0.891973 -1.22878 0.463379 0.509805 -0.291839 -0.447635 -0.413883 0.585862 -0.382446 -0.874235 1
18 1.15563 -0.494438 -1.17934 1.20371 -0.55552 -0.740515 -1.11001 0.805758 0.463379 0.509805 -0.291839 -0.447635 0.569698 0.585862 -0.382446 1.13253 0
19 -0.856761 -0.494438 0.839533 -0.822537 -0.55552 1.33704 0.891973 0.805758 0.463379 -1.94211 -0.291839 2.21184 -1.39747 0.585862 -0.382446 1.13253 3
20 -0.856761 -0.494438 -1.17934 1.20371 -0.55552 1.33704 0.891973 0.805758 0.463379 0.509805 -0.291839 2.21184 -1.39747 0.585862 -0.382446 1.13253 0
21 -0.856761 2.00247 0.839533 -0.822537 1.78229 -0.740515 -1.11001 -1.22878 0.463379 0.509805 -0.291839 -0.447635 -0.413883 0.585862 2.58886 -0.874235 1
22 -0.856761 2.00247 0.839533 -0.822537 1.78229 1.33704 -1.11001 -1.22878 0.463379 0.509805 -0.291839 -0.447635 -0.413883 0.585862 -0.382446 -0.874235 1
23 1.15563 -0.494438 -1.17934 1.20371 -0.55552 -0.740515 -1.11001 0.805758 0.463379 0.509805 -0.291839 -0.447635 0.569698 0.585862 -0.382446 1.13253 0
24 -0.856761 2.00247 0.839533 -0.822537 1.78229 -0.740515 -1.11001 -1.22878 0.463379 0.509805 -0.291839 -0.447635 -0.413883 0.585862 -0.382446 1.13253 1
25 -0.856761 -0.494438 0.839533 -0.822537 -0.55552 -0.740515 -1.11001 -1.22878 -2.13669 0.509805 -0.291839 -0.447635 1.55328 -1.68999 -0.382446 -0.874235 5
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