% 1. Title of Database: SPECTF heart data 
% 
% 2. Sources:
%    -- Original owners: Krzysztof J. Cios, Lukasz A. Kurgan
%  	University of Colorado at Denver, Denver, CO 80217, U.S.A.
% 	Krys.Cios@cudenver.edu
% 	Lucy S. Goodenday
% 	Medical College of Ohio, OH, U.S.A.
%    -- Donors: Lukasz A.Kurgan, Krzysztof J. Cios
%    -- Date: 10/01/01
% 
% 3. Past Usage:
% 	1. Kurgan, L.A., Cios, K.J., Tadeusiewicz, R., Ogiela, M. & Goodenday, L.S.
% 	   "Knowledge Discovery Approach to Automated Cardiac SPECT Diagnosis"
% 	   Artificial Intelligence in Medicine, vol. 23:2, pp 149-169, Oct 2001
% 
% 	Results: The CLIP3 machine learning algorithm achieved 77.0% accuracy.
% 	CLIP3 references: 	
% 	  	Cios, K.J., Wedding, D.K. & Liu, N. 
% 		CLIP3: cover learning using integer programming. 
% 		Kybernetes, 26:4-5, pp 513-536, 1997
% 	
% 		Cios K. J. & Kurgan L. 
% 		Hybrid Inductive Machine Learning: An Overview of CLIP Algorithms, 
% 		In: Jain L.C., and Kacprzyk J. (Eds.) 
% 		    New Learning Paradigms in Soft Computing, 
% 		    Physica-Verlag (Springer), 2001
% 
% 	   
% 	SPECTF is a good data set for testing ML algorithms; it has 267 instances that are descibed by 45 attributes.
% 	 Predicted attribute: OVERALL_DIAGNOSIS (binary)
% 	NOTE: See the SPECT heart data for binary data for the same classification task.
% 
% 4. Relevant Information:
% 	The dataset describes diagnosing of cardiac Single Proton Emission Computed Tomography (SPECT) images.
% 	Each of the patients is classified into two categories: normal and abnormal.
% 	The database of 267 SPECT image sets (patients) was processed to extract features that summarize the original SPECT images.
% 	As a result, 44 continuous feature pattern was created for each patient.
% 	The CLIP3 algorithm was used to generate classification rules from these patterns.
% 	The CLIP3 algorithm generated rules that were 77.0% accurate (as compared with cardilogists' diagnoses). 
%  
% 5. Number of Instances: 267
% 6. Number of Attributes: 45 (44 continuous + 1 binary class)
% 7. Attribute Information:
%    1.   OVERALL_DIAGNOSIS: 0,1 (class attribute, binary)
%    2.   F1R:   continuous (count in ROI (region of interest) 1 in rest)
%    3.   F1S:   continuous (count in ROI 1 in stress)
%    4.   F2R:   continuous (count in ROI 2 in rest)
%    5.   F2S:   continuous (count in ROI 2 in stress)
%    6.   F3R:   continuous (count in ROI 3 in rest)
%    7.   F3S:   continuous (count in ROI 3 in stress)
%    8.   F4R:   continuous (count in ROI 4 in rest)
%    9.   F4S:   continuous (count in ROI 4 in stress)
%    10.  F5R:   continuous (count in ROI 5 in rest)
%    11.  F5S:   continuous (count in ROI 5 in stress)
%    12.  F6R:   continuous (count in ROI 6 in rest)
%    13.  F6S:   continuous (count in ROI 6 in stress)
%    14.  F7R:   continuous (count in ROI 7 in rest)
%    15.  F7S:   continuous (count in ROI 7 in stress)
%    16.  F8R:   continuous (count in ROI 8 in rest)
%    17.  F8S:   continuous (count in ROI 8 in stress)
%    18.  F9R:   continuous (count in ROI 9 in rest)
%    19.  F9S:   continuous (count in ROI 9 in stress)
%    20.  F10R:  continuous (count in ROI 10 in rest)
%    21.  F10S:  continuous (count in ROI 10 in stress)
%    22.  F11R:  continuous (count in ROI 11 in rest)
%    23.  F11S:  continuous (count in ROI 11 in stress)
%    24.  F12R:  continuous (count in ROI 12 in rest)
%    25.  F12S:  continuous (count in ROI 12 in stress)
%    26.  F13R:  continuous (count in ROI 13 in rest)
%    27.  F13S:  continuous (count in ROI 13 in stress)
%    28.  F14R:  continuous (count in ROI 14 in rest)
%    29.  F14S:  continuous (count in ROI 14 in stress)
%    30.  F15R:  continuous (count in ROI 15 in rest)
%    31.  F15S:  continuous (count in ROI 15 in stress)
%    32.  F16R:  continuous (count in ROI 16 in rest)
%    33.  F16S:  continuous (count in ROI 16 in stress)
%    34.  F17R:  continuous (count in ROI 17 in rest)
%    35.  F17S:  continuous (count in ROI 17 in stress)
%    36.  F18R:  continuous (count in ROI 18 in rest)
%    37.  F18S:  continuous (count in ROI 18 in stress)
%    38.  F19R:  continuous (count in ROI 19 in rest)
%    39.  F19S:  continuous (count in ROI 19 in stress)
%    40.  F20R:  continuous (count in ROI 20 in rest)
%    41.  F20S:  continuous (count in ROI 20 in stress)
%    42.  F21R:  continuous (count in ROI 21 in rest)
%    43.  F21S:  continuous (count in ROI 21 in stress)
%    44.  F22R:  continuous (count in ROI 22 in rest)
%    45.  F22S:  continuous (count in ROI 22 in stress)
%    -- all continuous attributes have integer values from the 0 to 100
%    -- dataset is divided into:
% 	-- training data ("SPECTF.train" 80 instances)
% 	-- testing data ("SPECTF.test" 187 instances)
% 8. Missing Attribute Values: None
% 9. Class Distribution:
%    -- entire data
% 	Class		# examples
% 	  0		  55
% 	  1		  212
%    -- training dataset
% 	Class		# examples
% 	  0		  40
% 	  1		  40
%    -- testing dataset
% 	Class		# examples
% 	  0		  15
% 	  1		  172
% 
% NOTE: See the SPECT heart data for binary data for the same classification task.
%
% Information about the dataset
% CLASSTYPE: nominal
% CLASSINDEX: first
%

@relation spect

@attribute 'OVERALL_DIAGNOSIS' {0,1}
@attribute 'F1R' INTEGER
@attribute 'F1S' INTEGER
@attribute 'F2R' INTEGER
@attribute 'F2S' INTEGER
@attribute 'F3R' INTEGER
@attribute 'F3S' INTEGER
@attribute 'F4R' INTEGER
@attribute 'F4S' INTEGER
@attribute 'F5R' INTEGER
@attribute 'F5S' INTEGER
@attribute 'F6R' INTEGER
@attribute 'F6S' INTEGER
@attribute 'F7R' INTEGER
@attribute 'F7S' INTEGER
@attribute 'F8R' INTEGER
@attribute 'F8S' INTEGER
@attribute 'F9R' INTEGER
@attribute 'F9S' INTEGER
@attribute 'F10R' INTEGER
@attribute 'F10S' INTEGER
@attribute 'F11R' INTEGER
@attribute 'F11S' INTEGER
@attribute 'F12R' INTEGER
@attribute 'F12S' INTEGER
@attribute 'F13R' INTEGER
@attribute 'F13S' INTEGER
@attribute 'F14R' INTEGER
@attribute 'F14S' INTEGER
@attribute 'F15R' INTEGER
@attribute 'F15S' INTEGER
@attribute 'F16R' INTEGER
@attribute 'F16S' INTEGER
@attribute 'F17R' INTEGER
@attribute 'F17S' INTEGER
@attribute 'F18R' INTEGER
@attribute 'F18S' INTEGER
@attribute 'F19R' INTEGER
@attribute 'F19S' INTEGER
@attribute 'F20R' INTEGER
@attribute 'F20S' INTEGER
@attribute 'F21R' INTEGER
@attribute 'F21S' INTEGER
@attribute 'F22R' INTEGER
@attribute 'F22S' INTEGER

@data
1,59,52,70,67,73,66,72,61,58,52,72,71,70,77,66,65,67,55,61,57,68,66,72,74,63,64,56,54,67,54,76,74,65,67,66,56,62,56,72,62,74,74,64,67
1,72,62,69,67,78,82,74,65,69,63,70,70,72,74,70,71,72,75,66,65,73,78,74,79,74,69,69,70,71,69,72,70,62,65,65,71,63,60,69,73,67,71,56,58
1,71,62,70,64,67,64,79,65,70,69,72,71,68,65,61,61,73,71,75,74,80,74,54,47,53,37,77,68,72,59,72,68,60,60,73,70,66,65,64,55,61,41,51,46
1,69,71,70,78,61,63,67,65,59,59,66,69,71,75,65,58,60,55,62,59,67,66,74,74,64,60,57,54,70,73,69,76,62,64,61,61,66,65,72,73,68,68,59,63
1,70,66,61,66,61,58,69,69,72,68,62,71,71,71,63,59,74,75,70,69,83,77,73,70,41,37,39,40,58,46,75,73,65,66,67,69,70,66,70,64,60,55,49,41
1,57,69,68,75,69,74,73,71,57,61,72,74,73,69,61,58,60,55,71,62,79,70,77,71,65,63,69,55,61,68,75,74,63,64,63,58,69,67,79,77,72,70,61,65
1,69,66,62,75,67,71,72,76,69,70,66,69,71,80,66,64,71,77,65,61,72,67,71,69,65,57,69,65,68,65,76,73,63,64,69,70,72,72,69,68,70,73,63,59
1,61,60,60,62,64,72,68,67,74,68,76,70,74,71,76,74,74,70,75,66,69,62,65,60,66,65,68,59,64,59,72,65,55,56,66,66,66,60,60,58,60,67,49,52
1,65,62,67,68,65,67,71,71,64,56,73,72,68,69,56,57,67,62,74,66,80,76,80,78,53,47,48,36,68,65,74,73,60,60,67,63,74,63,77,79,68,70,59,56
1,74,73,72,79,66,61,76,66,65,64,78,74,62,57,48,36,62,50,67,63,79,70,61,57,52,36,69,49,55,65,74,73,58,60,64,62,73,69,62,67,60,56,53,46
1,70,69,60,62,58,60,71,77,69,69,73,68,68,70,69,65,76,75,63,64,67,74,56,60,54,44,68,69,68,68,74,73,61,59,68,67,64,68,64,76,64,61,54,49
1,67,66,65,77,66,70,72,72,72,67,76,72,73,76,74,71,74,73,69,61,78,70,76,73,70,70,62,51,70,68,79,77,75,68,72,71,69,63,65,61,73,73,64,67
1,76,69,78,73,68,67,75,70,77,70,79,73,79,75,74,71,76,68,81,79,77,78,75,76,66,76,65,67,67,57,68,75,50,62,62,59,47,49,75,65,74,70,51,48
1,70,69,67,66,68,60,76,77,70,67,71,71,79,79,70,64,77,76,63,54,68,65,72,67,59,52,56,50,67,61,74,72,67,59,68,66,73,68,74,68,77,69,65,62
1,78,73,68,74,68,69,63,74,68,67,73,73,66,71,64,67,66,68,61,66,75,71,60,62,64,66,65,67,66,62,74,75,61,61,63,66,68,65,71,62,69,67,61,59
1,67,51,73,65,69,56,72,63,64,56,68,67,70,62,70,58,68,62,65,59,77,69,68,59,64,55,65,60,70,60,72,65,58,51,66,59,71,62,74,60,76,65,62,56
1,70,54,66,66,76,46,74,58,68,52,81,58,67,58,68,32,73,59,76,51,82,57,76,54,58,30,69,41,59,59,67,73,62,55,60,55,65,56,65,44,73,36,51,28
1,63,63,69,72,67,62,65,57,68,53,68,71,73,78,64,58,61,54,70,61,72,67,72,68,57,55,61,53,66,60,76,77,73,66,66,58,75,70,77,67,78,68,64,58
1,62,56,66,57,74,75,68,59,65,59,74,66,71,65,67,69,66,66,71,72,80,74,71,63,62,72,62,66,66,61,73,68,59,59,63,62,73,73,76,67,77,71,62,58
1,80,74,82,77,74,74,73,77,64,61,73,73,73,72,62,66,66,68,63,61,69,75,70,75,59,64,63,69,66,66,70,77,62,62,60,65,67,66,74,71,66,71,59,62
1,63,58,66,55,56,58,69,74,44,48,63,60,76,67,73,73,58,66,68,63,72,74,70,72,77,75,70,71,71,67,75,73,60,59,71,70,65,62,70,69,71,70,58,61
1,70,65,65,62,68,67,77,74,62,61,66,61,69,74,64,62,71,71,74,70,77,78,69,70,67,65,67,70,49,48,73,71,65,73,73,73,75,71,73,72,73,70,65,64
1,61,63,58,62,56,60,67,75,61,57,64,71,56,59,66,62,73,76,71,75,83,84,69,71,69,69,69,71,49,43,59,64,56,61,64,72,70,73,69,70,65,68,65,62
1,70,64,52,58,75,89,70,72,26,30,46,55,54,59,40,40,39,37,35,17,59,52,66,72,23,46,8,31,17,20,49,72,61,70,31,13,40,23,31,30,57,67,41,57
1,75,71,54,51,53,50,68,69,46,55,11,12,43,48,61,60,73,77,46,45,68,59,65,73,54,60,55,66,54,41,53,52,58,63,72,65,33,23,64,54,36,46,45,52
1,77,61,62,68,62,58,72,68,77,71,76,77,72,75,62,57,77,74,61,58,72,76,69,68,56,53,57,54,69,70,73,79,65,70,66,68,67,66,71,67,60,60,53,57
1,75,72,75,79,72,68,79,77,69,66,73,77,67,73,57,58,69,69,67,65,77,68,69,65,58,54,68,60,67,66,75,78,63,66,68,64,72,69,73,61,52,44,34,37
1,78,76,71,72,65,71,75,74,70,64,65,76,65,73,59,57,65,65,73,73,81,80,68,66,59,44,62,63,62,59,71,74,59,60,64,61,77,76,62,67,44,42,44,30
1,69,68,75,74,78,72,75,72,61,57,72,71,75,72,70,68,68,62,62,66,67,67,74,78,64,68,62,62,64,63,75,77,66,67,69,65,62,63,64,59,74,75,63,67
1,72,66,75,67,61,59,64,63,61,67,75,76,66,48,61,56,69,68,68,68,68,75,69,67,68,71,70,68,48,47,74,79,63,75,62,62,64,67,56,52,69,83,59,73
1,64,64,70,75,70,71,74,71,59,60,62,68,70,66,69,72,69,69,61,63,56,60,62,66,69,71,62,63,67,65,62,58,52,51,67,66,61,56,64,65,71,73,57,63
1,72,63,68,62,72,63,79,61,57,49,76,75,55,57,43,37,54,52,57,56,78,78,57,55,35,37,57,57,41,35,67,70,75,72,53,46,63,62,53,43,38,35,32,26
1,79,78,66,63,69,62,78,70,72,71,73,78,75,65,68,62,76,71,68,68,72,71,52,48,23,26,66,59,66,66,72,74,56,58,67,63,66,69,70,74,34,33,11,12
1,66,81,75,72,69,67,74,81,67,73,76,75,69,64,58,57,74,74,56,62,74,78,55,50,37,38,65,73,61,61,73,73,61,63,67,66,60,71,46,58,35,37,24,20
1,65,66,71,72,67,75,76,83,70,74,70,76,70,68,63,71,69,76,72,73,76,80,69,68,57,59,59,56,62,68,75,73,65,61,69,73,66,70,63,65,65,67,53,42
1,71,75,76,74,71,68,67,68,69,75,75,74,59,58,71,69,70,74,74,72,71,78,69,72,69,72,63,61,59,70,72,75,61,66,70,71,59,64,64,60,72,61,55,63
1,70,66,66,68,71,69,64,61,68,67,50,53,73,71,73,63,71,73,80,81,82,82,67,71,52,47,67,64,66,67,66,75,58,62,65,65,71,67,70,71,67,64,52,53
1,73,76,68,74,56,59,73,76,54,48,75,78,47,53,25,19,60,56,56,54,80,79,47,53,19,14,58,50,67,71,63,54,49,48,66,65,62,58,57,72,31,30,15,11
1,68,76,79,78,63,73,68,78,64,71,73,77,67,71,58,57,61,63,52,64,64,74,53,72,36,44,52,54,49,56,73,81,65,80,53,60,63,70,58,64,52,57,49,50
1,68,64,65,68,63,64,77,73,75,72,80,77,70,71,61,61,73,68,63,62,76,73,69,69,48,59,62,44,66,59,75,74,64,64,63,61,70,69,74,67,51,48,45,45
0,62,67,64,70,59,58,67,74,60,66,68,68,73,71,60,63,64,74,64,65,74,77,69,73,59,58,58,67,65,69,78,76,61,62,64,67,72,74,71,71,71,69,66,61
0,62,67,68,70,65,70,73,77,69,70,69,73,71,74,71,71,76,75,66,67,73,73,70,74,63,67,58,68,66,69,78,79,69,70,71,73,72,71,73,77,72,76,64,66
0,59,68,69,67,69,59,78,73,66,65,77,73,74,66,66,55,71,66,69,68,75,73,80,79,69,65,69,66,68,65,75,71,59,61,65,64,73,71,81,75,74,65,69,66
0,75,75,70,77,67,75,75,75,67,66,74,73,68,72,64,70,76,70,67,63,74,75,72,68,69,68,75,69,71,74,75,76,63,70,71,69,66,63,70,73,66,68,58,59
0,77,79,79,77,74,76,76,81,65,68,66,66,74,73,72,68,67,73,63,62,72,67,76,69,68,64,64,61,69,68,73,75,70,66,64,70,70,70,73,76,79,73,65,63
0,68,64,74,80,76,72,78,75,67,64,75,80,78,77,66,64,67,67,70,60,78,82,70,68,63,60,64,60,54,56,70,73,59,65,55,58,50,51,73,70,69,65,42,41
0,76,73,74,76,60,69,76,76,68,69,78,79,57,62,69,69,67,66,73,69,80,81,58,68,75,69,73,70,58,65,79,76,74,71,66,64,65,62,78,68,75,68,62,60
0,61,76,71,68,77,69,77,69,64,75,71,81,75,72,71,69,70,73,61,71,69,79,64,65,62,66,61,65,71,68,67,71,59,64,66,65,60,68,74,71,69,68,63,59
0,67,65,77,74,67,66,67,70,65,64,75,78,66,74,62,60,65,65,73,72,75,76,74,81,66,65,65,63,63,67,76,80,63,64,63,64,73,72,76,75,72,74,65,64
0,71,61,74,74,76,74,69,56,68,78,71,78,58,64,70,72,71,68,72,71,79,78,67,68,63,60,67,67,76,74,67,79,67,71,71,64,70,74,83,76,74,73,54,54
0,64,70,71,69,72,70,75,78,61,66,69,68,68,70,71,70,75,76,73,72,80,78,79,81,74,70,72,79,73,75,77,73,65,64,72,72,59,62,71,74,68,67,58,57
0,76,75,68,78,71,72,72,75,61,65,67,70,67,75,60,58,63,67,59,63,67,72,74,73,56,56,52,52,67,68,73,78,65,68,61,67,69,74,77,75,74,70,63,61
0,74,73,72,75,63,62,67,67,73,74,75,79,70,71,64,67,65,69,79,78,81,80,71,73,60,62,69,67,69,69,75,75,66,67,67,66,71,73,66,69,62,65,55,56
0,65,67,69,76,62,68,65,66,65,64,74,73,60,75,66,63,64,62,73,65,77,74,69,69,66,59,68,59,69,69,76,79,65,63,60,60,69,64,69,74,69,70,62,57
0,59,75,70,76,62,70,65,74,65,67,75,76,70,73,63,61,74,67,78,69,75,73,70,68,67,64,79,68,70,75,76,77,59,63,72,69,64,64,65,72,61,61,51,55
0,76,72,73,69,67,73,74,72,60,65,73,66,66,73,68,67,69,70,60,58,66,76,69,75,65,64,63,60,74,71,77,79,61,68,71,70,62,63,73,76,62,69,52,59
0,71,75,78,78,68,67,75,72,67,68,72,75,74,74,67,66,66,67,66,66,78,80,73,75,67,72,67,67,67,65,77,78,61,64,63,66,51,57,77,67,78,76,60,59
0,80,76,75,75,69,68,74,75,77,77,76,78,74,70,66,65,67,75,74,73,74,77,68,67,61,58,60,67,61,63,75,75,66,62,59,61,77,74,69,67,65,66,61,58
0,68,70,66,72,63,71,77,82,61,63,61,62,61,65,65,62,72,77,69,73,72,78,74,77,69,69,77,74,64,63,66,70,58,60,65,69,75,77,77,77,69,77,65,64
0,67,57,73,78,63,68,72,73,61,59,59,76,71,72,69,66,70,68,65,77,79,68,71,75,62,66,70,78,68,69,70,76,65,65,66,67,62,72,69,72,70,68,60,59
0,72,74,67,69,69,70,74,81,66,70,73,78,69,80,65,65,70,77,69,70,73,79,64,68,56,58,67,64,68,68,69,74,62,67,66,70,73,77,74,77,71,72,63,65
0,62,71,78,84,64,68,72,74,53,57,71,70,71,72,54,53,63,67,54,57,71,71,70,74,54,57,54,57,62,64,75,72,62,65,60,64,64,67,72,77,62,62,61,65
0,69,78,74,76,70,67,69,73,68,75,75,76,71,77,58,61,66,70,67,72,76,72,56,62,56,61,57,62,67,73,76,74,58,63,64,68,66,76,70,72,64,68,60,56
0,59,65,53,60,72,74,67,69,64,67,64,65,71,70,68,71,72,70,70,70,75,78,72,71,71,71,67,64,67,71,71,74,62,66,72,73,57,57,64,71,70,69,53,49
0,66,67,63,70,69,70,73,72,61,62,68,68,70,71,71,67,71,69,65,65,76,78,71,70,65,64,68,71,70,71,73,74,58,63,68,71,70,72,77,79,79,79,66,66
0,62,66,66,68,73,76,68,71,62,62,63,68,74,75,63,68,71,68,58,58,65,66,65,76,64,70,63,60,70,72,71,77,67,69,72,71,63,63,70,72,75,79,62,59
0,71,71,69,71,65,65,76,73,67,66,69,79,76,76,63,62,74,71,58,66,76,78,78,74,68,66,69,68,68,68,71,74,59,57,65,66,73,71,78,74,68,70,57,55
0,63,61,75,72,68,71,69,70,64,56,70,75,76,73,70,72,76,73,68,68,79,76,68,76,66,73,58,68,72,75,72,75,65,61,66,67,58,57,72,72,68,71,57,58
0,74,81,80,78,70,69,74,77,69,71,73,76,68,68,62,61,68,68,67,70,74,80,68,74,57,62,57,65,61,65,71,76,63,65,67,67,70,74,63,72,68,70,61,64
0,69,64,73,72,49,70,66,71,57,56,64,62,76,74,65,62,63,58,63,63,75,76,78,80,75,77,51,62,74,68,77,77,70,68,68,64,59,58,69,66,74,75,62,59
0,70,64,68,67,76,68,76,69,67,64,69,65,62,65,70,67,74,68,65,65,74,75,64,69,63,63,64,64,56,61,62,68,66,66,62,58,57,48,75,64,79,74,59,58
0,65,68,70,78,65,72,72,74,64,69,71,73,72,68,62,62,65,62,72,75,79,78,72,76,66,67,62,61,68,76,72,78,65,64,67,63,64,67,67,77,66,66,59,57
0,64,53,74,70,65,63,70,70,57,57,64,64,73,74,65,59,65,63,63,62,72,73,79,76,75,68,60,58,69,66,72,76,64,65,63,65,63,65,75,80,74,67,71,67
0,70,71,71,74,68,66,72,70,66,69,74,72,70,69,64,66,73,72,75,73,81,81,76,75,71,70,74,82,69,72,76,74,60,56,66,66,64,64,73,72,66,63,54,58
0,72,70,75,80,73,70,76,73,66,56,72,70,73,75,67,65,69,69,73,72,81,77,80,79,67,64,64,66,69,68,70,75,63,59,66,63,74,77,81,78,79,75,65,66
0,70,75,72,72,67,71,71,78,63,67,73,76,71,74,59,61,67,64,74,71,77,77,70,72,61,61,62,58,63,69,76,75,64,65,66,67,68,70,70,71,64,67,56,54
0,59,57,67,71,66,68,68,70,56,62,77,61,67,71,75,71,67,64,62,54,64,75,71,72,76,79,75,70,71,77,71,69,56,54,62,64,56,53,71,68,64,63,56,56
0,67,64,73,75,77,77,74,70,65,62,74,75,65,67,68,70,66,69,67,60,74,75,62,64,66,71,62,61,64,69,73,76,64,66,61,64,65,60,68,75,74,80,67,68
0,68,65,72,72,47,74,76,74,67,66,71,69,69,67,63,64,68,68,70,74,77,77,73,60,49,48,42,69,70,69,76,79,63,66,64,69,71,73,73,75,68,56,58,44
0,66,54,69,66,69,69,75,72,63,62,68,66,68,70,71,68,70,69,66,68,73,72,65,73,67,63,60,57,70,68,75,75,65,67,69,65,65,64,67,69,71,68,59,59