Commit Inicial

data/tanveer/credit-approval/conxuntos.dat

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data/tanveer/credit-approval/conxuntos_kfold.dat

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data/tanveer/credit-approval/credit-approval.arff

@@ -0,0 +1,708 @@
+@relation credit-approval
+@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 'clase' {0,1}
+@data
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data/tanveer/credit-approval/credit-approval.cost

@@ -0,0 +1,5 @@
+% Rows	Columns
+2	2
+% Matrix elements
+ 0.0	 1.0	
+ 1.0	 0.0	

data/tanveer/credit-approval/credit-approval.txt

@@ -0,0 +1,8 @@
+n_entradas= 15
+n_clases= 2
+n_arquivos= 1
+fich1= credit-approval_R.dat
+n_patrons1= 690
+n_patrons_entrena= 345
+n_patrons_valida= 345
+n_conxuntos= 1

data/tanveer/credit-approval/credit-approval_R.dat

@@ -0,0 +1,691 @@
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+b,21.92,0.54,y,p,x,v,0.04,t,t,01,t,g,00840,59,+
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+b,25.33,0.58,u,g,c,v,0.29,t,t,07,t,g,00096,5124,+
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+b,27.00,0.75,u,g,c,h,4.25,t,t,03,t,g,00312,150,+
+b,23.17,0,?,?,?,?,0,f,f,0,f,p,?,0,+
+b,34.17,5.25,u,g,w,v,0.085,f,f,0,t,g,00290,6,+
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+b,25.75,0.75,u,g,c,bb,0.25,t,f,0,f,g,00349,23,+
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+a,21.50,6,u,g,aa,v,2.5,t,t,03,f,g,00080,918,+
+?,20.08,0.125,u,g,q,v,1,f,t,01,f,g,00240,768,+
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+a,29.50,0.46,u,g,k,v,0.54,t,t,04,f,g,00380,500,+
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+b,22.00,0.79,u,g,w,v,0.29,f,t,01,f,g,00420,283,-
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+b,29.42,1.25,u,g,c,h,0.25,f,t,02,t,g,00400,108,-
+b,22.67,0.75,u,g,i,v,1.585,f,t,01,t,g,00400,9,-
+b,32.25,14,y,p,ff,ff,0,f,t,02,f,g,00160,1,-
+b,29.58,4.75,u,g,m,v,2,f,t,01,t,g,00460,68,-
+b,18.42,10.415,y,p,aa,v,0.125,t,f,0,f,g,00120,375,-
+b,22.17,2.25,u,g,i,v,0.125,f,f,0,f,g,00160,10,-
+b,22.67,0.165,u,g,c,j,2.25,f,f,0,t,s,00000,0,+
+a,25.58,0,?,?,?,?,0,f,f,0,f,p,?,0,+
+b,18.83,0,u,g,q,v,0.665,f,f,0,f,g,00160,1,-
+b,21.58,0.79,y,p,cc,v,0.665,f,f,0,f,g,00160,0,-
+b,23.75,12,u,g,c,v,2.085,f,f,0,f,s,00080,0,-
+b,22.00,7.835,y,p,i,bb,0.165,f,f,0,t,g,?,0,-
+b,36.08,2.54,u,g,ff,ff,0,f,f,0,f,g,00000,1000,-
+b,29.25,13,u,g,d,h,0.5,f,f,0,f,g,00228,0,-
+a,19.58,0.665,u,g,w,v,1.665,f,f,0,f,g,00220,5,-
+a,22.92,1.25,u,g,q,v,0.25,f,f,0,t,g,00120,809,-
+a,27.25,0.29,u,g,m,h,0.125,f,t,01,t,g,00272,108,-
+a,38.75,1.5,u,g,ff,ff,0,f,f,0,f,g,00076,0,-
+b,32.42,2.165,y,p,k,ff,0,f,f,0,f,g,00120,0,-
+a,23.75,0.71,u,g,w,v,0.25,f,t,01,t,g,00240,4,-
+b,18.17,2.46,u,g,c,n,0.96,f,t,02,t,g,00160,587,-
+b,40.92,0.5,y,p,m,v,0.5,f,f,0,t,g,00130,0,-
+b,19.50,9.585,u,g,aa,v,0.79,f,f,0,f,g,00080,350,-
+b,28.58,3.625,u,g,aa,v,0.25,f,f,0,t,g,00100,0,-
+b,35.58,0.75,u,g,k,v,1.5,f,f,0,t,g,00231,0,-
+b,34.17,2.75,u,g,i,bb,2.5,f,f,0,t,g,00232,200,-
+?,33.17,2.25,y,p,cc,v,3.5,f,f,0,t,g,00200,141,-
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+b,35.00,3.375,u,g,c,h,8.29,f,f,0,t,g,00000,0,-

data/tanveer/credit-approval/crx.names

@@ -0,0 +1,65 @@
+
+1. Title: Credit Approval
+
+2. Sources: 
+    (confidential)
+    Submitted by quinlan@cs.su.oz.au
+
+3.  Past Usage:
+
+    See Quinlan,
+    * "Simplifying decision trees", Int J Man-Machine Studies 27,
+      Dec 1987, pp. 221-234.
+    * "C4.5: Programs for Machine Learning", Morgan Kaufmann, Oct 1992
+  
+4.  Relevant Information:
+
+    This file concerns credit card applications.  All attribute names
+    and values have been changed to meaningless symbols to protect
+    confidentiality of the data.
+  
+    This dataset is interesting because there is a good mix of
+    attributes -- continuous, nominal with small numbers of
+    values, and nominal with larger numbers of values.  There
+    are also a few missing values.
+  
+5.  Number of Instances: 690
+
+6.  Number of Attributes: 15 + class attribute
+
+7.  Attribute Information:
+
+    A1:	b, a.
+    A2:	continuous.
+    A3:	continuous.
+    A4:	u, y, l, t.
+    A5:	g, p, gg.
+    A6:	c, d, cc, i, j, k, m, r, q, w, x, e, aa, ff.
+    A7:	v, h, bb, j, n, z, dd, ff, o.
+    A8:	continuous.
+    A9:	t, f.
+    A10:	t, f.
+    A11:	continuous.
+    A12:	t, f.
+    A13:	g, p, s.
+    A14:	continuous.
+    A15:	continuous.
+    A16: +,-         (class attribute)
+
+8.  Missing Attribute Values:
+    37 cases (5%) have one or more missing values.  The missing
+    values from particular attributes are:
+
+    A1:  12
+    A2:  12
+    A4:   6
+    A5:   6
+    A6:   9
+    A7:   9
+    A14: 13
+
+9.  Class Distribution
+  
+    +: 307 (44.5%)
+    -: 383 (55.5%)
+

data/tanveer/credit-approval/le_datos.m

@@ -0,0 +1,63 @@
+printf('lendo problema %s ...\n', problema);
+
+n_entradas= 15; n_clases= 2; n_fich= 1; fich{1}= 'crx.data'; n_patrons(1)= 690;
+
+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
+	  if j==1
+		val={'a','b'};
+	  elseif j==4
+		val={'u', 'y', 'l', 't'};
+	  elseif j==5
+		val={'g', 'p', 'gg'};
+	  elseif j==6
+		val={'c', 'd', 'cc', 'i', 'j', 'k', 'm', 'r', 'q', 'w', 'x', 'e', 'aa', 'ff'};
+	  elseif j==7
+		val={'v', 'h', 'bb', 'j', 'n', 'z', 'dd', 'ff', 'o'};
+	  elseif j==9 || j==10 || j==12
+		val={'t', 'f'};
+	  elseif j==13
+		val={'g', 'p', 's'};
+	  else  % entrada continua
+		t=fscanf(f,'%c',1); 
+		if t=='?'
+		  x(i_fich,i,j)=0;
+		else
+		  fseek(f,-1,SEEK_CUR); x(i_fich,i,j)=fscanf(f,'%g',1); 
+		end
+		fscanf(f,'%c',1); continue
+	  end
+	  t=''; while 1
+		c = fscanf(f, '%c',1);
+		if c==',' break end
+		t=strcat(t,c); 
+	  end
+	  n=length(val); a=2/(n-1); b=(1+n)/(1-n);
+	  for k=1:n
+		if strcmp(t,val{k})
+		  x(i_fich,i,j)=a*k+b; break
+		end
+	  end
+	end
+	t = fscanf(f,'%c',1);fscanf(f,'%c',1);  	% lectura da clase e '\n'
+	if t=='+'
+	  cl(i_fich,i)= 0;
+	elseif t=='-'
+	  cl(i_fich,i)= 1;
+	else
+	  error('clase %c descoñecida', t)
+	end
+  end
+  fclose(f);
+end