Commit Inicial

2025-08-17 16:36:02 +00:00 · 2020-11-20 11:23:40 +01:00
commit 5611e5bc01
2914 changed files with 2625178 additions and 0 deletions
--- a/data/tanveer/ilpd-indian-liver/Indian
+++ b/data/tanveer/ilpd-indian-liver/Indian
--- a/data/tanveer/ilpd-indian-liver/conxuntos.dat
+++ b/data/tanveer/ilpd-indian-liver/conxuntos.dat
@@ -0,0 +1,2 @@
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--- a/data/tanveer/ilpd-indian-liver/conxuntos_kfold.dat
+++ b/data/tanveer/ilpd-indian-liver/conxuntos_kfold.dat
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--- a/data/tanveer/ilpd-indian-liver/descripcion_ilpd_indian_liver.pdf
+++ b/data/tanveer/ilpd-indian-liver/descripcion_ilpd_indian_liver.pdf
--- a/data/tanveer/ilpd-indian-liver/ilpd-indian-liver.arff
+++ b/data/tanveer/ilpd-indian-liver/ilpd-indian-liver.arff
@@ -0,0 +1,595 @@
+@relation ilpd-indian-liver
+@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 'clase' {0,1}
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--- a/data/tanveer/ilpd-indian-liver/ilpd-indian-liver.cost
+++ b/data/tanveer/ilpd-indian-liver/ilpd-indian-liver.cost
@@ -0,0 +1,5 @@
+% Rows	Columns
+2	2
+% Matrix elements
+ 0.0	 1.0	
+ 1.0	 0.0	
--- a/data/tanveer/ilpd-indian-liver/ilpd-indian-liver.txt
+++ b/data/tanveer/ilpd-indian-liver/ilpd-indian-liver.txt
@@ -0,0 +1,8 @@
+n_entradas= 9
+n_clases= 2
+n_arquivos= 1
+fich1= ilpd-indian-liver_R.dat
+n_patrons1= 583
+n_patrons_entrena= 292
+n_patrons_valida= 291
+n_conxuntos= 1
--- a/data/tanveer/ilpd-indian-liver/ilpd-indian-liver_R.dat
+++ b/data/tanveer/ilpd-indian-liver/ilpd-indian-liver_R.dat
@@ -0,0 +1,584 @@
+	f1	f2	f3	f4	f5	f6	f7	f8	f9	clase
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+6	0.0774473	-0.241371	-0.279903	-0.339907	-0.337934	-0.331965	1.02889	1.58154	1.09596	0
+7	-1.1579	-0.38631	-0.457934	-0.562186	-0.354361	-0.338887	0.476124	0.450206	0.181222	0
+8	-0.972594	-0.38631	-0.422328	-0.364605	-0.365313	-0.342348	0.199741	0.57591	0.486135	0
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+47	-1.46673	0.0968192	0.111766	-0.578651	-0.244844	-0.28697	0.291869	0.953023	1.21793	0
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+477	-0.41669	-0.38631	-0.422328	0.0799532	-0.359837	-0.293892	-0.905789	-0.555427	0.181222	0
+478	0.633352	-0.434623	-0.457934	-0.290512	-0.310554	-0.269664	-1.2743	-0.932539	-0.184674	0
+479	-0.725526	0.612157	0.788284	-0.389302	2.964	1.33979	0.383997	0.57591	0.455644	0
+480	-0.725526	0.0162977	0.0405532	-0.430465	3.82371	2.54082	0.752507	0.0730938	-0.733517	0
+481	-2.33147	-0.450727	-0.49354	0.252837	-0.288651	-0.203901	1.30527	1.33014	0.486135	1
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+486	-1.40496	0.54774	0.610253	2.30274	0.401305	0.477952	-0.260896	-0.429723	-0.428604	0
+487	-0.169621	-0.402414	-0.457934	-0.393419	-0.343409	-0.328504	0.199741	-0.178314	-0.428604	0
+488	-0.787293	-0.418518	-0.457934	-0.0600002	0.116561	0.277203	-0.445152	-0.304019	-0.0322172	0
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+493	-0.601991	-0.370206	-0.422328	2.11751	0.286312	-0.0239196	1.30527	0.198798	-0.733517	0
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+495	-1.21966	-0.418518	-0.457934	-0.434581	0.63129	1.00751	0.0154863	0.953023	1.70579	0
+496	-0.787293	-0.418518	-0.457934	-0.516907	-0.272223	-0.280047	-0.353024	-0.178314	0.0592567	1
+497	-1.28143	-0.370206	-0.457934	-0.418116	-0.157231	-0.273125	1.3974	2.08436	1.70579	0
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+499	1.43632	-0.241371	-0.351115	-0.574535	-0.343409	-0.304275	0.0154863	1.07873	2.0107	0
+500	0.633352	0.0485063	0.0405532	0.240488	-0.222941	-0.138139	0.660379	-0.304019	-1.03843	0
+501	1.55986	-0.0964324	-0.101872	0.306348	-0.102472	-0.190056	-0.445152	-0.932539	-1.03843	0
+502	-0.540224	-0.0803281	0.00494701	0.0593718	-0.288651	-0.117372	-0.537279	-0.806835	-0.733517	0
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+504	0.509817	2.6574	3.1739	-0.216419	-0.228417	0.3845	1.48953	-0.806835	-1.64826	0
+505	-0.787293	4.38056	5.55952	-0.298744	-0.228417	-0.106988	-0.905789	-0.555427	-0.123691	0
+506	-0.787293	4.71875	4.49133	-0.294628	0.0782303	0.432957	-0.629407	-0.0526103	0.486135	0
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+513	0.695119	-0.370206	-0.422328	-0.393419	-0.321506	-0.283508	-0.629407	-0.681131	-0.428604	1
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+517	0.942188	-0.38631	-0.422328	-0.504558	-0.354361	-0.297353	0.199741	-0.178314	-0.428604	0
+518	-1.03436	-0.38631	-0.457934	-0.311093	-0.168183	-0.283508	1.3974	1.07873	0.181222	0
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+523	0.0774473	-0.402414	-0.457934	-0.434581	-0.310554	-0.328504	1.30527	0.701614	-0.428604	0
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+530	0.633352	0.000193362	0.00494701	-0.315209	-0.146279	0.145678	-1.2743	-1.68676	-1.34334	0
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+536	0.942188	2.62519	2.85345	0.722092	-0.190086	-0.20044	-0.353024	-1.43536	-1.64826	0
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+570	-1.77557	0.708783	0.930709	-0.0929304	0.72438	0.201057	0.568252	1.07873	0.791048	0
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+573	-0.787293	1.98102	2.85345	-0.644512	-0.146279	0.0522265	-0.813662	1.07873	4.75492	0
+574	-0.787293	0.0646106	0.0405532	1.32307	-0.168183	-0.0758373	-0.260896	-1.56106	-1.64826	0
+575	-0.787293	1.41737	1.60723	0.92379	-0.179134	-0.0619926	0.107614	-0.932539	-1.34334	0
+576	-0.787293	3.49483	4.34891	1.10902	-0.217465	-0.0758373	1.30527	-0.806835	4.75492	0
+577	-0.787293	1.8844	2.39056	-0.00648861	-0.124376	-0.103527	-1.09004	-1.18395	-0.733517	0
+578	-0.787293	1.514	2.46178	-0.414	-0.288651	-0.217746	-0.997917	-0.681131	-0.123691	0
+579	0.942188	-0.450727	-0.49354	0.862046	-0.332458	-0.262741	-0.537279	-1.93817	-1.73973	1
+580	-0.293156	-0.434623	-0.49354	-0.792697	-0.25032	-0.273125	-0.445152	0.0730938	0.486135	0
+581	0.44805	-0.402414	-0.457934	-0.187605	-0.179134	-0.210823	-0.0766413	0.0730938	0.181222	0
+582	-0.84906	-0.321893	-0.351115	-0.438698	-0.283175	-0.269664	0.291869	0.324502	0.181222	0
+583	-0.41669	-0.370206	-0.422328	-0.306977	-0.326982	-0.297353	0.752507	1.58154	1.70579	1
--- a/data/tanveer/ilpd-indian-liver/le_datos.m
+++ b/data/tanveer/ilpd-indian-liver/le_datos.m
@@ -0,0 +1,32 @@
+printf('lendo problema %s ...\n', problema);
+
+n_entradas= 10; n_clases= 2; n_fich= 1; fich{1}= 'Indian Liver Patient Dataset (ILPD).csv'; n_patrons(1)= 583;
+
+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);
+	x(i_fich,i,1)=fscanf(f,'%g',1);
+	t=fscanf(f,'%s',1); 
+	if strcmp(t,'Female')
+	  x(i_fich,i,2)=-1;
+	elseif strcmp(t,'Male')
+	  x(i_fich,i,2)=-1;
+	else
+	  error('gender %s descoñecido', t)
+	end
+	for j=3: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