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Ricardo Montañana Gómez
2020-11-20 11:23:40 +01:00
commit 5611e5bc01
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data/tanveer/statlog-heart/conxuntos.dat Executable file
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data/tanveer/statlog-heart/conxuntos_kfold.dat Executable file
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44
data/tanveer/statlog-heart/heart.doc Executable file
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@@ -0,0 +1,44 @@
This database contains 13 attributes (which have been extracted from
a larger set of 75)
Attribute Information:
------------------------
-- 1. age
-- 2. sex
-- 3. chest pain type (4 values)
-- 4. resting blood pressure
-- 5. serum cholestoral in mg/dl
-- 6. fasting blood sugar > 120 mg/dl
-- 7. resting electrocardiographic results (values 0,1,2)
-- 8. maximum heart rate achieved
-- 9. exercise induced angina
-- 10. oldpeak = ST depression induced by exercise relative to rest
-- 11. the slope of the peak exercise ST segment
-- 12. number of major vessels (0-3) colored by flourosopy
-- 13. thal: 3 = normal; 6 = fixed defect; 7 = reversable defect
Attributes types
-----------------
Real: 1,4,5,8,10,12
Ordered:11,
Binary: 2,6,9
Nominal:7,3,13
Variable to be predicted
------------------------
Absence (1) or presence (2) of heart disease
Cost Matrix
abse pres
absence 0 1
presence 5 0
where the rows represent the true values and the columns the predicted.
No missing values.
270 observations

23
data/tanveer/statlog-heart/le_datos.m Executable file
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@@ -0,0 +1,23 @@
printf('lendo problema %s ...\n', problema);
n_entradas= 13; n_clases= 2; n_fich= 1; fich{1}= 'heart.dat'; n_patrons(1)= 270;
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);
for j = 1:n_entradas
x(i_fich,i,j) = fscanf(f,'%g',1);
end
cl(i_fich,i) = fscanf(f,'%i',1) - 1; % lectura da clase
end
fclose(f);
end

286
data/tanveer/statlog-heart/statlog-heart.arff Executable file
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@@ -0,0 +1,286 @@
@relation statlog-heart
@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 'clase' {0,1}
@data
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5
data/tanveer/statlog-heart/statlog-heart.cost Executable file
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@@ -0,0 +1,5 @@
% Rows Columns
2 2
% Matrix elements
0.0 1.0
1.0 0.0

8
data/tanveer/statlog-heart/statlog-heart.txt Executable file
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@@ -0,0 +1,8 @@
n_entradas= 13
n_clases= 2
n_arquivos= 1
fich1= statlog-heart_R.dat
n_patrons1= 270
n_patrons_entrena= 135
n_patrons_valida= 135
n_conxuntos= 1

271
data/tanveer/statlog-heart/statlog-heart_R.dat Executable file
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@@ -0,0 +1,271 @@
f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 f13 clase
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97 1.2698 0.688222 0.869313 -0.63513 1.01266 -0.416256 0.979844 0.0570767 -0.699923 -0.567582 0.675165 -0.710216 -0.874083 0
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99 1.05024 -1.44764 -0.183219 0.48459 1.22549 -0.416256 -1.02438 -0.719934 -0.699923 -0.742222 -0.952466 -0.710216 1.18707 0
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107 -0.376914 0.688222 -0.183219 -1.75485 -0.535138 -0.416256 -1.02438 -0.288261 1.42344 0.13098 0.675165 -0.710216 -0.874083 0
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114 -0.0475717 -1.44764 -0.183219 0.20466 1.05136 2.39347 -1.02438 0.877254 -0.699923 -0.916863 -0.952466 -0.710216 -0.874083 0
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118 0.17199 -1.44764 0.869313 3.84375 0.741798 2.39347 0.979844 -0.719934 1.42344 2.57595 2.3028 1.40866 1.18707 1
119 1.2698 -1.44764 -2.28828 1.04445 -0.457748 -0.416256 -1.02438 -1.54011 -0.699923 1.35346 2.3028 -0.710216 -0.874083 0
120 0.17199 0.688222 0.869313 -0.0752701 0.64506 2.39347 0.979844 -2.01495 1.42344 0.480261 2.3028 -0.710216 1.18707 1
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122 -0.0475717 0.688222 0.869313 -0.523158 0.703103 -0.416256 0.979844 -1.45378 1.42344 1.87739 0.675165 1.40866 -0.874083 1
123 0.281771 0.688222 0.869313 1.15642 0.470933 -0.416256 -1.02438 -2.66246 1.42344 0.13098 0.675165 0.349222 1.18707 1
124 1.16002 -1.44764 -0.183219 1.60431 2.13482 -0.416256 0.979844 0.0570767 -0.699923 -0.218301 -0.952466 -0.710216 -0.874083 0
125 -0.0475717 0.688222 -0.183219 -0.3552 0.451585 -0.416256 0.979844 0.100244 -0.699923 -0.480261 2.3028 0.349222 -0.874083 0
126 -0.0475717 -1.44764 -0.183219 1.60431 -0.941436 -0.416256 -1.02438 0.575084 -0.699923 -0.916863 -0.952466 0.349222 -0.874083 0
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128 -0.267133 -1.44764 -0.183219 0.260646 -1.03817 -0.416256 0.979844 0.834087 -0.699923 -0.829542 0.675165 -0.710216 -0.874083 0
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130 0.611113 0.688222 0.869313 -0.803088 -0.380358 2.39347 -1.02438 0.445582 1.42344 0.305621 -0.952466 1.40866 1.18707 1
131 0.940455 -1.44764 0.869313 -1.30696 0.374195 -0.416256 -1.02438 0.834087 1.42344 0.654902 0.675165 1.40866 -0.874083 1
132 1.2698 0.688222 0.869313 -1.08302 -0.728613 -0.416256 0.979844 -0.763101 1.42344 -0.829542 -0.952466 0.349222 -0.874083 1
133 -1.36494 0.688222 0.869313 0.48459 -0.457748 -0.416256 -1.02438 1.22259 -0.699923 -0.916863 -0.952466 -0.710216 -0.874083 0
134 1.05024 0.688222 0.869313 -0.63513 -0.0707976 -0.416256 0.979844 -2.31712 1.42344 1.00418 2.3028 0.349222 -0.874083 1
135 -0.0475717 0.688222 -0.183219 1.04445 -0.341663 -0.416256 0.979844 0.661418 -0.699923 0.480261 -0.952466 -0.710216 1.18707 0
136 -0.925818 -1.44764 -0.183219 0.596562 -1.40578 -0.416256 0.979844 0.445582 1.42344 0.305621 2.3028 -0.710216 -0.874083 0
137 1.37958 -1.44764 -0.183219 1.15642 0.528975 -0.416256 -1.02438 0.963589 -0.699923 -0.916863 -0.952466 0.349222 -0.874083 0
138 0.17199 0.688222 0.869313 -0.3552 -0.012755 2.39347 0.979844 -0.245094 1.42344 0.13098 0.675165 0.349222 -0.874083 1
139 -2.24319 -1.44764 -1.23575 -0.747102 -0.767308 -0.416256 -1.02438 1.82693 -0.699923 -0.305621 -0.952466 -0.710216 -0.874083 0
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141 1.05024 0.688222 0.869313 0.76452 -0.728613 -0.416256 0.979844 -0.763101 -0.699923 0.829542 0.675165 1.40866 0.671784 1
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143 -0.486695 0.688222 -0.183219 0.48459 -0.322315 -0.416256 -1.02438 0.575084 -0.699923 -0.392941 0.675165 0.349222 1.18707 1
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145 -0.0475717 0.688222 -1.23575 3.39586 0.64506 -0.416256 0.979844 1.95644 -0.699923 -0.916863 -0.952466 0.349222 1.18707 1
146 -0.157352 0.688222 0.869313 -0.467172 0.625713 -0.416256 -1.02438 -2.36029 1.42344 0.829542 0.675165 1.40866 1.18707 1
147 -0.267133 0.688222 0.869313 -1.08302 -0.380358 -0.416256 -1.02438 0.445582 -0.699923 -0.916863 -0.952466 0.349222 -0.874083 1
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149 0.391551 0.688222 -0.183219 0.0367019 -0.496443 -0.416256 0.979844 1.00676 -0.699923 1.87739 -0.952466 1.40866 1.18707 1
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152 -0.486695 -1.44764 -0.183219 -0.63513 -0.59318 -0.416256 -1.02438 0.359247 -0.699923 0.480261 0.675165 -0.710216 -0.874083 0
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154 1.05024 -1.44764 0.869313 -0.0752701 1.03201 -0.416256 -1.02438 -1.19477 -0.699923 0.829542 0.675165 1.40866 -0.874083 0
155 -0.376914 -1.44764 -0.183219 -0.0752701 0.122678 -0.416256 0.979844 -0.0292578 -0.699923 -0.480261 -0.952466 -0.710216 -0.874083 0
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157 0.0622091 0.688222 0.869313 0.48459 -0.631875 -0.416256 -1.02438 -1.66961 1.42344 3.97307 2.3028 -0.710216 1.18707 1
158 -1.0356 0.688222 -1.23575 -0.187242 1.12875 -0.416256 0.979844 0.877254 -0.699923 -0.916863 -0.952466 -0.710216 -0.874083 0
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160 1.2698 -1.44764 0.869313 2.61206 -0.419053 2.39347 -1.02438 0.661418 1.42344 -0.0436601 0.675165 1.40866 1.18707 1
161 -1.80406 0.688222 -2.28828 -0.63513 -0.36101 -0.416256 -1.02438 1.39526 1.42344 2.40131 0.675165 -0.710216 1.18707 1
162 0.830674 -1.44764 0.869313 1.04445 -0.109493 -0.416256 -1.02438 0.186578 1.42344 0.305621 0.675165 -0.710216 -0.874083 1
163 0.0622091 0.688222 -1.23575 -0.0752701 0.238763 -0.416256 -1.02438 0.229746 -0.699923 -0.916863 -0.952466 -0.710216 -0.874083 0
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165 -1.25516 0.688222 0.869313 -1.19499 -0.74796 -0.416256 -1.02438 0.488749 -0.699923 -0.916863 -0.952466 -0.710216 1.18707 0
166 1.05024 -1.44764 0.869313 2.72403 1.45766 -0.416256 -1.02438 0.186578 1.42344 -0.916863 -0.952466 -0.710216 -0.874083 0
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171 1.59914 0.688222 -2.28828 1.60431 -0.302968 2.39347 0.979844 -0.806268 -0.699923 -0.829542 0.675165 0.349222 -0.874083 0
172 1.59914 0.688222 -0.183219 0.48459 0.0839825 -0.416256 0.979844 -0.15876 -0.699923 0.829542 0.675165 2.4681 1.18707 1
173 1.37958 0.688222 0.869313 -1.75485 0.95462 -0.416256 0.979844 -1.06527 1.42344 -0.13098 0.675165 1.40866 -0.874083 1
174 1.48936 -1.44764 -0.183219 -0.63513 -0.74796 -0.416256 0.979844 -1.49694 -0.699923 0.392941 0.675165 -0.710216 -0.874083 0
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176 0.830674 -1.44764 0.869313 0.372618 0.857883 2.39347 -1.02438 -1.88545 -0.699923 0.742222 0.675165 2.4681 -0.874083 1
177 -0.376914 0.688222 0.869313 0.48459 0.935273 -0.416256 -1.02438 -1.19477 1.42344 2.75059 0.675165 2.4681 1.18707 1
178 -0.925818 0.688222 -0.183219 1.04445 -0.36101 -0.416256 -1.02438 -0.115592 -0.699923 2.22667 0.675165 -0.710216 -0.874083 1
179 1.37958 0.688222 0.869313 -0.3552 0.0839825 2.39347 -1.02438 0.575084 -0.699923 -0.742222 0.675165 1.40866 1.18707 1
180 -0.486695 0.688222 -0.183219 -0.131256 -1.03817 -0.416256 -1.02438 0.575084 -0.699923 -0.916863 -0.952466 -0.710216 -0.874083 0
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183 -1.47472 0.688222 0.869313 -1.19499 -1.50251 -0.416256 0.979844 0.359247 -0.699923 -0.916863 -0.952466 -0.710216 1.18707 1
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192 1.70892 0.688222 0.869313 0.76452 -1.46382 -0.416256 -1.02438 -1.06527 1.42344 1.35346 2.3028 -0.710216 1.18707 1
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