%
% !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
%
% Cholesterol treated as the class attribute.
%
% As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction
% using instance-based learning with encoding length selection. In Progress
% in Connectionist-Based Information Systems. Singapore: Springer-Verlag.
%
% !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
%
% Publication Request: 
%    >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
%    This file describes the contents of the heart-disease directory.
% 
%    This directory contains 4 databases concerning heart disease diagnosis.
%    All attributes are numeric-valued.  The data was collected from the
%    four following locations:
% 
%      1. Cleveland Clinic Foundation (cleveland.data)
%      2. Hungarian Institute of Cardiology, Budapest (hungarian.data)
%      3. V.A. Medical Center, Long Beach, CA (long-beach-va.data)
%      4. University Hospital, Zurich, Switzerland (switzerland.data)
% 
%    Each database has the same instance format.  While the databases have 76
%    raw attributes, only 14 of them are actually used.  Thus I've taken the
%    liberty of making 2 copies of each database: one with all the attributes
%    and 1 with the 14 attributes actually used in past experiments.
% 
%    The authors of the databases have requested:
% 
%       ...that any publications resulting from the use of the data include the 
%       names of the principal investigator responsible for the data collection
%       at each institution.  They would be:
% 
%        1. Hungarian Institute of Cardiology. Budapest: Andras Janosi, M.D.
%        2. University Hospital, Zurich, Switzerland: William Steinbrunn, M.D.
%        3. University Hospital, Basel, Switzerland: Matthias Pfisterer, M.D.
%        4. V.A. Medical Center, Long Beach and Cleveland Clinic Foundation:
%           Robert Detrano, M.D., Ph.D.
% 
%    Thanks in advance for abiding by this request.
% 
%    David Aha
%    July 22, 1988
%    >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
% 
% 1. Title: Heart Disease Databases
% 
% 2. Source Information:
%    (a) Creators: 
%        -- 1. Hungarian Institute of Cardiology. Budapest: Andras Janosi, M.D.
%        -- 2. University Hospital, Zurich, Switzerland: William Steinbrunn, M.D.
%        -- 3. University Hospital, Basel, Switzerland: Matthias Pfisterer, M.D.
%        -- 4. V.A. Medical Center, Long Beach and Cleveland Clinic Foundation:
%              Robert Detrano, M.D., Ph.D.
%    (b) Donor: David W. Aha (aha@ics.uci.edu) (714) 856-8779   
%    (c) Date: July, 1988
% 
% 3. Past Usage:
%     1. Detrano,~R., Janosi,~A., Steinbrunn,~W., Pfisterer,~M., Schmid,~J.,
%        Sandhu,~S., Guppy,~K., Lee,~S., \& Froelicher,~V. (1989).  {\it 
%        International application of a new probability algorithm for the 
%        diagnosis of coronary artery disease.}  {\it American Journal of 
%        Cardiology}, {\it 64},304--310.
%        -- International Probability Analysis 
%        -- Address: Robert Detrano, M.D.
%                    Cardiology 111-C
%                    V.A. Medical Center
%                    5901 E. 7th Street
%                    Long Beach, CA 90028
%        -- Results in percent accuracy: (for 0.5 probability threshold)
%              Data Name:  CDF    CADENZA
%           -- Hungarian   77     74
%              Long beach  79     77
%              Swiss       81     81
%           -- Approximately a 77% correct classification accuracy with a
%              logistic-regression-derived discriminant function
%     2. David W. Aha & Dennis Kibler
%        -- 
%           
%           
%           -- Instance-based prediction of heart-disease presence with the 
%              Cleveland database
%              -- NTgrowth: 77.0% accuracy
%              --       C4: 74.8% accuracy
%     3. John Gennari
%        -- Gennari, J.~H., Langley, P, \& Fisher, D. (1989). Models of
%           incremental concept formation. {\it Artificial Intelligence, 40},
%           11--61.
%        -- Results: 
%           -- The CLASSIT conceptual clustering system achieved a 78.9% accuracy
%              on the Cleveland database.
% 
% 4. Relevant Information:
%      This database contains 76 attributes, but all published experiments
%      refer to using a subset of 14 of them.  In particular, the Cleveland
%      database is the only one that has been used by ML researchers to 
%      this date.  The "goal" field refers to the presence of heart disease
%      in the patient.  It is integer valued from 0 (no presence) to 4.
%      Experiments with the Cleveland database have concentrated on simply
%      attempting to distinguish presence (values 1,2,3,4) from absence (value
%      0).  
%    
%      The names and social security numbers of the patients were recently 
%      removed from the database, replaced with dummy values.
% 
%      One file has been "processed", that one containing the Cleveland 
%      database.  All four unprocessed files also exist in this directory.
%     
% 5. Number of Instances: 
%         Database:    # of instances:
%           Cleveland: 303
%           Hungarian: 294
%         Switzerland: 123
%       Long Beach VA: 200
% 
% 6. Number of Attributes: 76 (including the predicted attribute)
% 
% 7. Attribute Information:
%    -- Only 14 used
%       -- 1. #3  (age)       
%       -- 2. #4  (sex)       
%       -- 3. #9  (cp)        
%       -- 4. #10 (trestbps)  
%       -- 5. #12 (chol)      
%       -- 6. #16 (fbs)       
%       -- 7. #19 (restecg)   
%       -- 8. #32 (thalach)   
%       -- 9. #38 (exang)     
%       -- 10. #40 (oldpeak)   
%       -- 11. #41 (slope)     
%       -- 12. #44 (ca)        
%       -- 13. #51 (thal)      
%       -- 14. #58 (num)       (the predicted attribute)
% 
%    -- Complete attribute documentation:
%       1 id: patient identification number
%       2 ccf: social security number (I replaced this with a dummy value of 0)
%       3 age: age in years
%       4 sex: sex (1 = male; 0 = female)
%       5 painloc: chest pain location (1 = substernal; 0 = otherwise)
%       6 painexer (1 = provoked by exertion; 0 = otherwise)
%       7 relrest (1 = relieved after rest; 0 = otherwise)
%       8 pncaden (sum of 5, 6, and 7)
%       9 cp: chest pain type
%         -- Value 1: typical angina
%         -- Value 2: atypical angina
%         -- Value 3: non-anginal pain
%         -- Value 4: asymptomatic
%      10 trestbps: resting blood pressure (in mm Hg on admission to the 
%         hospital)
%      11 htn
%      12 chol: serum cholestoral in mg/dl
%      13 smoke: I believe this is 1 = yes; 0 = no (is or is not a smoker)
%      14 cigs (cigarettes per day)
%      15 years (number of years as a smoker)
%      16 fbs: (fasting blood sugar > 120 mg/dl)  (1 = true; 0 = false)
%      17 dm (1 = history of diabetes; 0 = no such history)
%      18 famhist: family history of coronary artery disease (1 = yes; 0 = no)
%      19 restecg: resting electrocardiographic results
%         -- Value 0: normal
%         -- Value 1: having ST-T wave abnormality (T wave inversions and/or ST 
%                     elevation or depression of > 0.05 mV)
%         -- Value 2: showing probable or definite left ventricular hypertrophy
%                     by Estes' criteria
%      20 ekgmo (month of exercise ECG reading)
%      21 ekgday(day of exercise ECG reading)
%      22 ekgyr (year of exercise ECG reading)
%      23 dig (digitalis used furing exercise ECG: 1 = yes; 0 = no)
%      24 prop (Beta blocker used during exercise ECG: 1 = yes; 0 = no)
%      25 nitr (nitrates used during exercise ECG: 1 = yes; 0 = no)
%      26 pro (calcium channel blocker used during exercise ECG: 1 = yes; 0 = no)
%      27 diuretic (diuretic used used during exercise ECG: 1 = yes; 0 = no)
%      28 proto: exercise protocol
%           1 = Bruce     
%           2 = Kottus
%           3 = McHenry
%           4 = fast Balke
%           5 = Balke
%           6 = Noughton 
%           7 = bike 150 kpa min/min  (Not sure if "kpa min/min" is what was 
%               written!)
%           8 = bike 125 kpa min/min  
%           9 = bike 100 kpa min/min
%          10 = bike 75 kpa min/min
%          11 = bike 50 kpa min/min
%          12 = arm ergometer
%      29 thaldur: duration of exercise test in minutes
%      30 thaltime: time when ST measure depression was noted
%      31 met: mets achieved
%      32 thalach: maximum heart rate achieved
%      33 thalrest: resting heart rate
%      34 tpeakbps: peak exercise blood pressure (first of 2 parts)
%      35 tpeakbpd: peak exercise blood pressure (second of 2 parts)
%      36 dummy
%      37 trestbpd: resting blood pressure
%      38 exang: exercise induced angina (1 = yes; 0 = no)
%      39 xhypo: (1 = yes; 0 = no)
%      40 oldpeak = ST depression induced by exercise relative to rest
%      41 slope: the slope of the peak exercise ST segment
%         -- Value 1: upsloping
%         -- Value 2: flat
%         -- Value 3: downsloping
%      42 rldv5: height at rest
%      43 rldv5e: height at peak exercise
%      44 ca: number of major vessels (0-3) colored by flourosopy
%      45 restckm: irrelevant
%      46 exerckm: irrelevant
%      47 restef: rest raidonuclid (sp?) ejection fraction
%      48 restwm: rest wall (sp?) motion abnormality
%         0 = none
%         1 = mild or moderate
%         2 = moderate or severe
%         3 = akinesis or dyskmem (sp?)
%      49 exeref: exercise radinalid (sp?) ejection fraction
%      50 exerwm: exercise wall (sp?) motion 
%      51 thal: 3 = normal; 6 = fixed defect; 7 = reversable defect
%      52 thalsev: not used
%      53 thalpul: not used
%      54 earlobe: not used
%      55 cmo: month of cardiac cath (sp?)  (perhaps "call")
%      56 cday: day of cardiac cath (sp?)
%      57 cyr: year of cardiac cath (sp?)
%      58 num: diagnosis of heart disease (angiographic disease status)
%         -- Value 0: < 50% diameter narrowing
%         -- Value 1: > 50% diameter narrowing
%         (in any major vessel: attributes 59 through 68 are vessels)
%      59 lmt
%      60 ladprox
%      61 laddist
%      62 diag
%      63 cxmain
%      64 ramus
%      65 om1
%      66 om2
%      67 rcaprox
%      68 rcadist
%      69 lvx1: not used
%      70 lvx2: not used
%      71 lvx3: not used
%      72 lvx4: not used
%      73 lvf: not used
%      74 cathef: not used
%      75 junk: not used
%      76 name: last name of patient 
%         (I replaced this with the dummy string "name")
% 
% 9. Missing Attribute Values: Several.  Distinguished with value -9.0.
% 
% 10. Class Distribution:
%         Database:      0   1   2   3   4 Total
%           Cleveland: 164  55  36  35  13   303
%           Hungarian: 188  37  26  28  15   294
%         Switzerland:   8  48  32  30   5   123
%       Long Beach VA:  51  56  41  42  10   200
% 

@relation 'cholesterol'
@attribute 'age' real
@attribute 'sex' { 0, 1}
@attribute 'cp' { 1, 4, 3, 2}
@attribute 'trestbps' real
@attribute 'fbs' { 1, 0}
@attribute 'restecg' { 2, 0, 1}
@attribute 'thalach' real
@attribute 'exang' { 0, 1}
@attribute 'oldpeak' real
% 'slope' is ordered
@attribute 'slope' { 1,2,3}
@attribute 'ca' real
@attribute 'thal' { 6, 3, 7}
@attribute 'num' real
@attribute 'chol' real
@data
63,1,1,145,1,2,150,0,2.3,3,0,6,0,233
67,1,4,160,0,2,108,1,1.5,2,3,3,2,286
67,1,4,120,0,2,129,1,2.6,2,2,7,1,229
37,1,3,130,0,0,187,0,3.5,3,0,3,0,250
41,0,2,130,0,2,172,0,1.4,1,0,3,0,204
56,1,2,120,0,0,178,0,0.8,1,0,3,0,236
62,0,4,140,0,2,160,0,3.6,3,2,3,3,268
57,0,4,120,0,0,163,1,0.6,1,0,3,0,354
63,1,4,130,0,2,147,0,1.4,2,1,7,2,254
53,1,4,140,1,2,155,1,3.1,3,0,7,1,203
57,1,4,140,0,0,148,0,0.4,2,0,6,0,192
56,0,2,140,0,2,153,0,1.3,2,0,3,0,294
56,1,3,130,1,2,142,1,0.6,2,1,6,2,256
44,1,2,120,0,0,173,0,0,1,0,7,0,263
52,1,3,172,1,0,162,0,0.5,1,0,7,0,199
57,1,3,150,0,0,174,0,1.6,1,0,3,0,168
48,1,2,110,0,0,168,0,1,3,0,7,1,229
54,1,4,140,0,0,160,0,1.2,1,0,3,0,239
48,0,3,130,0,0,139,0,0.2,1,0,3,0,275
49,1,2,130,0,0,171,0,0.6,1,0,3,0,266
64,1,1,110,0,2,144,1,1.8,2,0,3,0,211
58,0,1,150,1,2,162,0,1,1,0,3,0,283
58,1,2,120,0,2,160,0,1.8,2,0,3,1,284
58,1,3,132,0,2,173,0,3.2,1,2,7,3,224
60,1,4,130,0,2,132,1,2.4,2,2,7,4,206
50,0,3,120,0,0,158,0,1.6,2,0,3,0,219
58,0,3,120,0,0,172,0,0,1,0,3,0,340
66,0,1,150,0,0,114,0,2.6,3,0,3,0,226
43,1,4,150,0,0,171,0,1.5,1,0,3,0,247
40,1,4,110,0,2,114,1,2,2,0,7,3,167
69,0,1,140,0,0,151,0,1.8,1,2,3,0,239
60,1,4,117,1,0,160,1,1.4,1,2,7,2,230
64,1,3,140,0,0,158,0,0,1,0,3,1,335
59,1,4,135,0,0,161,0,0.5,2,0,7,0,234
44,1,3,130,0,0,179,1,0.4,1,0,3,0,233
42,1,4,140,0,0,178,0,0,1,0,3,0,226
43,1,4,120,0,2,120,1,2.5,2,0,7,3,177
57,1,4,150,0,2,112,1,0.6,2,1,6,1,276
55,1,4,132,0,0,132,1,1.2,2,1,7,3,353
61,1,3,150,1,0,137,1,1,2,0,3,0,243
65,0,4,150,0,2,114,0,1,2,3,7,4,225
40,1,1,140,0,0,178,1,1.4,1,0,7,0,199
71,0,2,160,0,0,162,0,0.4,1,2,3,0,302
59,1,3,150,1,0,157,0,1.6,1,0,3,0,212
61,0,4,130,0,2,169,0,0,1,0,3,1,330
58,1,3,112,0,2,165,0,2.5,2,1,7,4,230
51,1,3,110,0,0,123,0,0.6,1,0,3,0,175
50,1,4,150,0,2,128,0,2.6,2,0,7,4,243
65,0,3,140,1,2,157,0,0.8,1,1,3,0,417
53,1,3,130,1,2,152,0,1.2,3,0,3,0,197
41,0,2,105,0,0,168,0,0,1,1,3,0,198
65,1,4,120,0,0,140,0,0.4,1,0,7,0,177
44,1,4,112,0,2,153,0,0,1,1,3,2,290
44,1,2,130,0,2,188,0,0,1,0,3,0,219
60,1,4,130,0,0,144,1,1.4,1,1,7,1,253
54,1,4,124,0,2,109,1,2.2,2,1,7,1,266
50,1,3,140,0,0,163,0,0.6,2,1,7,1,233
41,1,4,110,0,2,158,0,0,1,0,7,1,172
54,1,3,125,0,2,152,0,0.5,3,1,3,0,273
51,1,1,125,0,2,125,1,1.4,1,1,3,0,213
51,0,4,130,0,0,142,1,1.2,2,0,7,2,305
46,0,3,142,0,2,160,1,1.4,3,0,3,0,177
58,1,4,128,0,2,131,1,2.2,2,3,7,1,216
54,0,3,135,1,0,170,0,0,1,0,3,0,304
54,1,4,120,0,0,113,0,1.4,2,1,7,2,188
60,1,4,145,0,2,142,1,2.8,2,2,7,2,282
60,1,3,140,0,2,155,0,3,2,0,3,1,185
54,1,3,150,0,2,165,0,1.6,1,0,7,0,232
59,1,4,170,0,2,140,1,3.4,3,0,7,2,326
46,1,3,150,0,0,147,0,3.6,2,0,3,1,231
65,0,3,155,0,0,148,0,0.8,1,0,3,0,269
67,1,4,125,1,0,163,0,0.2,2,2,7,3,254
62,1,4,120,0,0,99,1,1.8,2,2,7,1,267
65,1,4,110,0,2,158,0,0.6,1,2,6,1,248
44,1,4,110,0,2,177,0,0,1,1,3,1,197
65,0,3,160,0,2,151,0,0.8,1,0,3,0,360
60,1,4,125,0,2,141,1,2.8,2,1,7,1,258
51,0,3,140,0,2,142,0,1.5,1,1,3,0,308
48,1,2,130,0,2,180,0,0.2,2,0,3,0,245
58,1,4,150,0,2,111,1,0.8,1,0,7,3,270
45,1,4,104,0,2,148,1,3,2,0,3,0,208
53,0,4,130,0,2,143,0,0.4,2,0,3,0,264
39,1,3,140,0,2,182,0,0,1,0,3,0,321
68,1,3,180,1,2,150,1,1.6,2,0,7,3,274
52,1,2,120,0,0,172,0,0.2,1,0,3,0,325
44,1,3,140,0,2,180,0,0,1,0,3,0,235
47,1,3,138,0,2,156,0,0,1,0,3,0,257
53,0,3,128,0,2,115,0,0,1,0,?,0,216
53,0,4,138,0,2,160,0,0,1,0,3,0,234
51,0,3,130,0,2,149,0,0.5,1,0,3,0,256
66,1,4,120,0,2,151,0,0.4,2,0,3,0,302
62,0,4,160,0,2,145,0,6.2,3,3,7,3,164
62,1,3,130,0,0,146,0,1.8,2,3,7,0,231
44,0,3,108,0,0,175,0,0.6,2,0,3,0,141
63,0,3,135,0,2,172,0,0,1,0,3,0,252
52,1,4,128,0,0,161,1,0,1,1,7,1,255
59,1,4,110,0,2,142,1,1.2,2,1,7,2,239
60,0,4,150,0,2,157,0,2.6,2,2,7,3,258
52,1,2,134,0,0,158,0,0.8,1,1,3,0,201
48,1,4,122,0,2,186,0,0,1,0,3,0,222
45,1,4,115,0,2,185,0,0,1,0,3,0,260
34,1,1,118,0,2,174,0,0,1,0,3,0,182
57,0,4,128,0,2,159,0,0,1,1,3,0,303
71,0,3,110,1,2,130,0,0,1,1,3,0,265
49,1,3,120,0,0,139,0,2,2,3,7,3,188
54,1,2,108,0,0,156,0,0,1,0,7,0,309
59,1,4,140,0,0,162,1,0,1,1,7,2,177
57,1,3,128,0,2,150,0,0.4,2,1,7,1,229
61,1,4,120,0,0,140,1,3.6,2,1,7,2,260
39,1,4,118,0,0,140,0,1.2,2,0,7,3,219
61,0,4,145,0,2,146,1,1,2,0,7,1,307
56,1,4,125,1,2,144,1,1.2,2,1,3,1,249
52,1,1,118,0,2,190,0,0,2,0,6,0,186
43,0,4,132,1,2,136,1,3,2,0,7,2,341
62,0,3,130,0,0,97,0,1.2,2,1,7,2,263
41,1,2,135,0,0,132,0,0,2,0,6,0,203
58,1,3,140,1,2,165,0,0,1,0,3,0,211
35,0,4,138,0,0,182,0,1.4,1,0,3,0,183
63,1,4,130,1,2,132,1,1.8,1,3,7,3,330
65,1,4,135,0,2,127,0,2.8,2,1,7,2,254
48,1,4,130,1,2,150,1,0,1,2,7,3,256
63,0,4,150,0,2,154,0,4,2,3,7,4,407
51,1,3,100,0,0,143,1,1.2,2,0,3,0,222
55,1,4,140,0,0,111,1,5.6,3,0,7,3,217
65,1,1,138,1,2,174,0,1.4,2,1,3,1,282
45,0,2,130,0,2,175,0,0.6,2,0,3,0,234
56,0,4,200,1,2,133,1,4,3,2,7,3,288
54,1,4,110,0,0,126,1,2.8,2,1,7,3,239
44,1,2,120,0,0,170,0,0,1,0,3,0,220
62,0,4,124,0,0,163,0,0,1,0,3,0,209
54,1,3,120,0,2,147,0,0.4,2,0,7,0,258
51,1,3,94,0,0,154,1,0,1,1,7,0,227
29,1,2,130,0,2,202,0,0,1,0,3,0,204
51,1,4,140,0,2,186,1,0,1,0,3,0,261
43,0,3,122,0,0,165,0,0.2,2,0,3,0,213
55,0,2,135,0,2,161,0,1.4,2,0,3,0,250
70,1,4,145,0,0,125,1,2.6,3,0,7,4,174
62,1,2,120,0,2,103,0,1.4,2,1,7,3,281
35,1,4,120,0,0,130,1,1.6,2,0,7,1,198
51,1,3,125,1,2,166,0,2.4,2,0,3,0,245
59,1,2,140,0,0,164,1,0,1,0,3,0,221
59,1,1,170,0,2,159,0,0.2,2,0,7,1,288
52,1,2,128,1,0,184,0,0,1,0,3,0,205
64,1,3,125,0,0,131,1,1.8,2,0,7,1,309
58,1,3,105,0,2,154,1,0.6,2,0,7,0,240
47,1,3,108,0,0,152,0,0,1,0,3,1,243
57,1,4,165,1,2,124,0,1,2,3,7,4,289
41,1,3,112,0,0,179,0,0,1,0,3,0,250
45,1,2,128,0,2,170,0,0,1,0,3,0,308
60,0,3,102,0,0,160,0,0,1,1,3,0,318
52,1,1,152,1,0,178,0,1.2,2,0,7,0,298
42,0,4,102,0,2,122,0,0.6,2,0,3,0,265
67,0,3,115,0,2,160,0,1.6,2,0,7,0,564
55,1,4,160,0,2,145,1,0.8,2,1,7,4,289
64,1,4,120,0,2,96,1,2.2,3,1,3,3,246
70,1,4,130,0,2,109,0,2.4,2,3,3,1,322
51,1,4,140,0,0,173,1,1.6,1,0,7,1,299
58,1,4,125,0,2,171,0,0,1,2,7,1,300
60,1,4,140,0,2,170,0,1.2,2,2,7,2,293
68,1,3,118,0,0,151,0,1,1,1,7,0,277
46,1,2,101,1,0,156,0,0,1,0,7,0,197
77,1,4,125,0,2,162,1,0,1,3,3,4,304
54,0,3,110,0,0,158,0,1.6,2,0,3,0,214
58,0,4,100,0,2,122,0,1,2,0,3,0,248
48,1,3,124,1,0,175,0,0,1,2,3,0,255
57,1,4,132,0,0,168,1,0,1,0,7,0,207
52,1,3,138,0,0,169,0,0,1,?,3,0,223
54,0,2,132,1,2,159,1,0,1,1,3,0,288
35,1,4,126,0,2,156,1,0,1,0,7,1,282
45,0,2,112,0,0,138,0,0,2,0,3,0,160
70,1,3,160,0,0,112,1,2.9,2,1,7,3,269
53,1,4,142,0,2,111,1,0,1,0,7,0,226
59,0,4,174,0,0,143,1,0,2,0,3,1,249
62,0,4,140,0,2,157,0,1.2,2,0,3,0,394
64,1,4,145,0,2,132,0,2,2,2,6,4,212
57,1,4,152,0,0,88,1,1.2,2,1,7,1,274
52,1,4,108,1,0,147,0,0.1,1,3,7,0,233
56,1,4,132,0,2,105,1,2.1,2,1,6,1,184
43,1,3,130,0,0,162,0,1.9,1,1,3,0,315
53,1,3,130,1,2,173,0,0,1,3,3,0,246
48,1,4,124,0,2,166,0,0.5,2,0,7,3,274
56,0,4,134,0,2,150,1,1.9,2,2,7,2,409
42,1,1,148,0,2,178,0,0.8,1,2,3,0,244
59,1,1,178,0,2,145,0,4.2,3,0,7,0,270
60,0,4,158,0,2,161,0,0,1,0,3,1,305
63,0,2,140,0,0,179,0,0,1,2,3,0,195
42,1,3,120,1,0,194,0,0.8,3,0,7,0,240
66,1,2,160,0,0,120,1,0,2,3,6,2,246
54,1,2,192,0,2,195,0,0,1,1,7,1,283
69,1,3,140,0,2,146,0,2,2,3,7,2,254
50,1,3,129,0,0,163,0,0,1,0,3,0,196
51,1,4,140,0,0,122,1,4.2,2,3,7,3,298
43,1,4,132,1,2,143,1,0.1,2,?,7,1,247
62,0,4,138,1,0,106,0,1.9,2,3,3,2,294
68,0,3,120,0,2,115,0,1.5,2,0,3,0,211
67,1,4,100,0,2,125,1,0.9,2,2,3,3,299
69,1,1,160,1,2,131,0,0.1,2,1,3,0,234
45,0,4,138,0,2,152,1,0.2,2,0,3,0,236
50,0,2,120,0,0,162,0,1.1,1,0,3,0,244
59,1,1,160,0,2,125,0,0,1,0,3,1,273
50,0,4,110,0,2,159,0,0,1,0,3,0,254
64,0,4,180,0,0,154,1,0,1,0,3,0,325
57,1,3,150,1,0,173,0,0.2,1,1,7,0,126
64,0,3,140,0,0,133,0,0.2,1,0,7,0,313
43,1,4,110,0,0,161,0,0,1,0,7,0,211
45,1,4,142,0,2,147,1,0,2,3,7,3,309
58,1,4,128,0,2,130,1,3,2,2,7,3,259
50,1,4,144,0,2,126,1,0.9,2,0,7,3,200
55,1,2,130,0,0,155,0,0,1,0,3,0,262
62,0,4,150,0,0,154,1,1.4,2,0,3,1,244
37,0,3,120,0,0,170,0,0,1,0,3,0,215
38,1,1,120,0,0,182,1,3.8,2,0,7,4,231
41,1,3,130,0,2,168,0,2,2,0,3,0,214
66,0,4,178,1,0,165,1,1,2,2,7,3,228
52,1,4,112,0,0,160,0,0,1,1,3,1,230
56,1,1,120,0,2,162,0,1.9,2,0,7,0,193
46,0,2,105,0,0,172,0,0,1,0,3,0,204
46,0,4,138,0,2,152,1,0,2,0,3,0,243
64,0,4,130,0,0,122,0,2,2,2,3,0,303
59,1,4,138,0,2,182,0,0,1,0,3,0,271
41,0,3,112,0,2,172,1,0,1,0,3,0,268
54,0,3,108,0,2,167,0,0,1,0,3,0,267
39,0,3,94,0,0,179,0,0,1,0,3,0,199
53,1,4,123,0,0,95,1,2,2,2,7,3,282
63,0,4,108,0,0,169,1,1.8,2,2,3,1,269
34,0,2,118,0,0,192,0,0.7,1,0,3,0,210
47,1,4,112,0,0,143,0,0.1,1,0,3,0,204
67,0,3,152,0,0,172,0,0,1,1,3,0,277
54,1,4,110,0,2,108,1,0,2,1,3,3,206
66,1,4,112,0,2,132,1,0.1,1,1,3,2,212
52,0,3,136,0,2,169,0,0.1,2,0,3,0,196
55,0,4,180,0,1,117,1,3.4,2,0,3,2,327
49,1,3,118,0,2,126,0,0.8,1,3,3,1,149
74,0,2,120,0,2,121,1,0.2,1,1,3,0,269
54,0,3,160,0,0,163,0,0,1,1,3,0,201
54,1,4,122,0,2,116,1,3.2,2,2,3,3,286
56,1,4,130,1,2,103,1,1.6,3,0,7,2,283
46,1,4,120,0,2,144,0,0.8,1,0,7,1,249
49,0,2,134,0,0,162,0,0,2,0,3,0,271
42,1,2,120,0,0,162,0,0,1,0,3,0,295
41,1,2,110,0,0,153,0,0,1,0,3,0,235
41,0,2,126,0,0,163,0,0,1,0,3,0,306
49,0,4,130,0,0,163,0,0,1,0,3,0,269
61,1,1,134,0,0,145,0,2.6,2,2,3,2,234
60,0,3,120,1,0,96,0,0,1,0,3,0,178
67,1,4,120,0,0,71,0,1,2,0,3,2,237
58,1,4,100,0,0,156,0,0.1,1,1,7,2,234
47,1,4,110,0,2,118,1,1,2,1,3,1,275
52,1,4,125,0,0,168,0,1,1,2,7,3,212
62,1,2,128,1,2,140,0,0,1,0,3,0,208
57,1,4,110,0,0,126,1,1.5,2,0,6,0,201
58,1,4,146,0,0,105,0,2,2,1,7,1,218
64,1,4,128,0,0,105,1,0.2,2,1,7,0,263
51,0,3,120,0,2,157,0,0.6,1,0,3,0,295
43,1,4,115,0,0,181,0,1.2,2,0,3,0,303
42,0,3,120,0,0,173,0,0,2,0,3,0,209
67,0,4,106,0,0,142,0,0.3,1,2,3,0,223
76,0,3,140,0,1,116,0,1.1,2,0,3,0,197
70,1,2,156,0,2,143,0,0,1,0,3,0,245
57,1,2,124,0,0,141,0,0.3,1,0,7,1,261
44,0,3,118,0,0,149,0,0.3,2,1,3,0,242
58,0,2,136,1,2,152,0,0,1,2,3,3,319
60,0,1,150,0,0,171,0,0.9,1,0,3,0,240
44,1,3,120,0,0,169,0,0,1,0,3,0,226
61,1,4,138,0,2,125,1,3.6,2,1,3,4,166
42,1,4,136,0,0,125,1,1.8,2,0,6,2,315
52,1,4,128,1,0,156,1,1,2,0,?,2,204
59,1,3,126,1,0,134,0,2.2,2,1,6,2,218
40,1,4,152,0,0,181,0,0,1,0,7,1,223
42,1,3,130,0,0,150,0,0,1,0,3,0,180
61,1,4,140,0,2,138,1,1.9,1,1,7,1,207
66,1,4,160,0,2,138,0,2.3,1,0,6,0,228
46,1,4,140,0,0,120,1,1.8,2,2,7,2,311
71,0,4,112,0,0,125,0,1.6,2,0,3,0,149
59,1,1,134,0,0,162,0,0.8,1,2,3,1,204
64,1,1,170,0,2,155,0,0.6,2,0,7,0,227
66,0,3,146,0,2,152,0,0,2,1,3,0,278
39,0,3,138,0,0,152,0,0,2,0,3,0,220
57,1,2,154,0,2,164,0,0,1,1,3,1,232
58,0,4,130,0,0,131,0,0.6,2,0,3,0,197
57,1,4,110,0,0,143,1,3,2,1,7,2,335
47,1,3,130,0,0,179,0,0,1,0,3,0,253
55,0,4,128,0,1,130,1,2,2,1,7,3,205
35,1,2,122,0,0,174,0,0,1,0,3,0,192
61,1,4,148,0,0,161,0,0,1,1,7,2,203
58,1,4,114,0,1,140,0,4.4,3,3,6,4,318
58,0,4,170,1,2,146,1,2.8,2,2,6,2,225
58,1,2,125,0,0,144,0,0.4,2,?,7,0,220
56,1,2,130,0,2,163,0,0,1,0,7,0,221
56,1,2,120,0,0,169,0,0,3,0,3,0,240
67,1,3,152,0,2,150,0,0.8,2,0,7,1,212
55,0,2,132,0,0,166,0,1.2,1,0,3,0,342
44,1,4,120,0,0,144,1,2.8,3,0,6,2,169
63,1,4,140,0,2,144,1,4,1,2,7,2,187
63,0,4,124,0,0,136,1,0,2,0,3,1,197
41,1,2,120,0,0,182,0,0,1,0,3,0,157
59,1,4,164,1,2,90,0,1,2,2,6,3,176
57,0,4,140,0,0,123,1,0.2,2,0,7,1,241
45,1,1,110,0,0,132,0,1.2,2,0,7,1,264
68,1,4,144,1,0,141,0,3.4,2,2,7,2,193
57,1,4,130,0,0,115,1,1.2,2,1,7,3,131
57,0,2,130,0,2,174,0,0,2,1,3,1,236
38,1,3,138,0,0,173,0,0,1,?,3,0,175