% 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 'hungarian'
@attribute age numeric
@attribute sex {0,1}
@attribute cp {1,4,3,2}
@attribute trestbps numeric
@attribute chol numeric
@attribute fbs {1,0}
@attribute restecg {2,0,1}
@attribute thalach numeric
@attribute exang {0,1}
@attribute oldpeak numeric
@attribute slope {3,2,1}
@attribute ca numeric
@attribute thal {6,3,7}
@attribute num numeric

@data
28,1,2,130,132,0.0,2.0,185,0.0,0,nan,nan,nan,0
29,1,2,120,243,0.0,0.0,160,0.0,0,nan,nan,nan,0
29,1,2,140,-2147483648,0.0,0.0,170,0.0,0,nan,nan,nan,0
30,0,1,170,237,0.0,1.0,170,0.0,0,nan,nan,6.0,0
31,0,2,100,219,0.0,1.0,150,0.0,0,nan,nan,nan,0
32,0,2,105,198,0.0,0.0,165,0.0,0,nan,nan,nan,0
32,1,2,110,225,0.0,0.0,184,0.0,0,nan,nan,nan,0
32,1,2,125,254,0.0,0.0,155,0.0,0,nan,nan,nan,0
33,1,3,120,298,0.0,0.0,185,0.0,0,nan,nan,nan,0
34,0,2,130,161,0.0,0.0,190,0.0,0,nan,nan,nan,0
34,1,2,150,214,0.0,1.0,168,0.0,0,nan,nan,nan,0
34,1,2,98,220,0.0,0.0,150,0.0,0,nan,nan,nan,0
35,0,1,120,160,0.0,1.0,185,0.0,0,nan,nan,nan,0
35,0,4,140,167,0.0,0.0,150,0.0,0,nan,nan,nan,0
35,1,2,120,308,0.0,2.0,180,0.0,0,nan,nan,nan,0
35,1,2,150,264,0.0,0.0,168,0.0,0,nan,nan,nan,0
36,1,2,120,166,0.0,0.0,180,0.0,0,nan,nan,nan,0
36,1,3,112,340,0.0,0.0,184,0.0,1,2.0,nan,3.0,0
36,1,3,130,209,0.0,0.0,178,0.0,0,nan,nan,nan,0
36,1,3,150,160,0.0,0.0,172,0.0,0,nan,nan,nan,0
37,0,2,120,260,0.0,0.0,130,0.0,0,nan,nan,nan,0
37,0,3,130,211,0.0,0.0,142,0.0,0,nan,nan,nan,0
37,0,4,130,173,0.0,1.0,184,0.0,0,nan,nan,nan,0
37,1,2,130,283,0.0,1.0,98,0.0,0,nan,nan,nan,0
37,1,3,130,194,0.0,0.0,150,0.0,0,nan,nan,nan,0
37,1,4,120,223,0.0,0.0,168,0.0,0,nan,nan,3.0,0
37,1,4,130,315,0.0,0.0,158,0.0,0,nan,nan,nan,0
38,0,2,120,275,nan,0.0,129,0.0,0,nan,nan,nan,0
38,1,2,140,297,0.0,0.0,150,0.0,0,nan,nan,nan,0
38,1,3,145,292,0.0,0.0,130,0.0,0,nan,nan,nan,0
39,0,3,110,182,0.0,1.0,180,0.0,0,nan,nan,nan,0
39,1,2,120,-2147483648,0.0,1.0,146,0.0,2,1.0,nan,nan,0
39,1,2,120,200,0.0,0.0,160,1.0,1,2.0,nan,nan,0
39,1,2,120,204,0.0,0.0,145,0.0,0,nan,nan,nan,0
39,1,2,130,-2147483648,0.0,0.0,120,0.0,0,nan,nan,nan,0
39,1,2,190,241,0.0,0.0,106,0.0,0,nan,nan,nan,0
39,1,3,120,339,0.0,0.0,170,0.0,0,nan,nan,nan,0
39,1,3,160,147,1.0,0.0,160,0.0,0,nan,nan,nan,0
39,1,4,110,273,0.0,0.0,132,0.0,0,nan,nan,nan,0
39,1,4,130,307,0.0,0.0,140,0.0,0,nan,nan,nan,0
40,1,2,130,275,0.0,0.0,150,0.0,0,nan,nan,nan,0
40,1,2,140,289,0.0,0.0,172,0.0,0,nan,nan,nan,0
40,1,3,130,215,0.0,0.0,138,0.0,0,nan,nan,nan,0
40,1,3,130,281,0.0,0.0,167,0.0,0,nan,nan,nan,0
40,1,3,140,-2147483648,0.0,0.0,188,0.0,0,nan,nan,nan,0
41,0,2,110,250,0.0,1.0,142,0.0,0,nan,nan,nan,0
41,0,2,125,184,0.0,0.0,180,0.0,0,nan,nan,nan,0
41,0,2,130,245,0.0,0.0,150,0.0,0,nan,nan,nan,0
41,1,2,120,291,0.0,1.0,160,0.0,0,nan,nan,nan,0
41,1,2,120,295,0.0,0.0,170,0.0,0,nan,nan,nan,0
41,1,2,125,269,0.0,0.0,144,0.0,0,nan,nan,nan,0
41,1,4,112,250,0.0,0.0,142,0.0,0,nan,nan,nan,0
42,0,3,115,211,0.0,1.0,137,0.0,0,nan,nan,nan,0
42,1,2,120,196,0.0,0.0,150,0.0,0,nan,nan,nan,0
42,1,2,120,198,0.0,0.0,155,0.0,0,nan,nan,nan,0
42,1,2,150,268,0.0,0.0,136,0.0,0,nan,nan,nan,0
42,1,3,120,228,0.0,0.0,152,1.0,1,2.0,nan,nan,0
42,1,3,160,147,0.0,0.0,146,0.0,0,nan,nan,nan,0
42,1,4,140,358,0.0,0.0,170,0.0,0,nan,nan,nan,0
43,0,1,100,223,0.0,0.0,142,0.0,0,nan,nan,nan,0
43,0,2,120,201,0.0,0.0,165,0.0,0,nan,nan,nan,0
43,0,2,120,215,0.0,1.0,175,0.0,0,nan,nan,nan,0
43,0,2,120,249,0.0,1.0,176,0.0,0,nan,nan,nan,0
43,0,2,120,266,0.0,0.0,118,0.0,0,nan,nan,nan,0
43,0,2,150,186,0.0,0.0,154,0.0,0,nan,nan,nan,0
43,0,3,150,-2147483648,0.0,0.0,175,0.0,0,nan,nan,3.0,0
43,1,2,142,207,0.0,0.0,138,0.0,0,nan,nan,nan,0
44,0,4,120,218,0.0,1.0,115,0.0,0,nan,nan,nan,0
44,1,2,120,184,0.0,0.0,142,0.0,1,2.0,nan,nan,0
44,1,2,130,215,0.0,0.0,135,0.0,0,nan,nan,nan,0
44,1,4,150,412,0.0,0.0,170,0.0,0,nan,nan,nan,0
45,0,2,130,237,0.0,0.0,170,0.0,0,nan,nan,nan,0
45,0,2,180,-2147483648,0.0,0.0,180,0.0,0,nan,nan,nan,0
45,0,4,132,297,0.0,0.0,144,0.0,0,nan,nan,nan,0
45,1,2,140,224,1.0,0.0,122,0.0,0,nan,nan,nan,0
45,1,3,135,-2147483648,0.0,0.0,110,0.0,0,nan,nan,nan,0
45,1,4,120,225,0.0,0.0,140,0.0,0,nan,nan,nan,0
45,1,4,140,224,0.0,0.0,144,0.0,0,nan,nan,nan,0
46,0,4,130,238,0.0,0.0,90,0.0,0,nan,nan,nan,0
46,1,2,140,275,0.0,0.0,165,1.0,0,nan,nan,nan,0
46,1,3,120,230,0.0,0.0,150,0.0,0,nan,nan,nan,0
46,1,3,150,163,nan,0.0,116,0.0,0,nan,nan,nan,0
46,1,4,110,238,0.0,1.0,140,1.0,1,2.0,nan,3.0,0
46,1,4,110,240,0.0,1.0,140,0.0,0,nan,nan,3.0,0
46,1,4,180,280,0.0,1.0,120,0.0,0,nan,nan,nan,0
47,0,2,140,257,0.0,0.0,135,0.0,1,1.0,nan,nan,0
47,0,3,130,-2147483648,0.0,0.0,145,0.0,2,2.0,nan,nan,0
47,1,1,110,249,0.0,0.0,150,0.0,0,nan,nan,nan,0
47,1,2,160,263,0.0,0.0,174,0.0,0,nan,nan,nan,0
47,1,4,140,276,1.0,0.0,125,1.0,0,nan,nan,nan,0
48,0,2,-2147483648,308,0.0,1.0,-2147483648,nan,2,1.0,nan,nan,0
48,0,2,120,-2147483648,1.0,1.0,148,0.0,0,nan,nan,nan,0
48,0,2,120,284,0.0,0.0,120,0.0,0,nan,nan,nan,0
48,0,3,120,195,0.0,0.0,125,0.0,0,nan,nan,nan,0
48,0,4,108,163,0.0,0.0,175,0.0,2,1.0,nan,nan,0
48,0,4,120,254,0.0,1.0,110,0.0,0,nan,nan,nan,0
48,0,4,150,227,0.0,0.0,130,1.0,1,2.0,nan,nan,0
48,1,2,100,-2147483648,0.0,0.0,100,0.0,0,nan,nan,nan,0
48,1,2,130,245,0.0,0.0,160,0.0,0,nan,nan,nan,0
48,1,2,140,238,0.0,0.0,118,0.0,0,nan,nan,nan,0
48,1,3,110,211,0.0,0.0,138,0.0,0,nan,nan,6.0,0
49,0,2,110,-2147483648,0.0,0.0,160,0.0,0,nan,nan,nan,0
49,0,2,110,-2147483648,0.0,0.0,160,0.0,0,nan,nan,nan,0
49,0,2,124,201,0.0,0.0,164,0.0,0,nan,nan,nan,0
49,0,3,130,207,0.0,1.0,135,0.0,0,nan,nan,nan,0
49,1,2,100,253,0.0,0.0,174,0.0,0,nan,nan,nan,0
49,1,3,140,187,0.0,0.0,172,0.0,0,nan,nan,nan,0
49,1,4,120,297,nan,0.0,132,0.0,1,2.0,nan,nan,0
49,1,4,140,-2147483648,0.0,0.0,130,0.0,0,nan,nan,nan,0
50,0,2,110,202,0.0,0.0,145,0.0,0,nan,nan,nan,0
50,0,4,120,328,0.0,0.0,110,1.0,1,2.0,nan,nan,0
50,1,2,120,168,0.0,0.0,160,0.0,0,nan,0.0,nan,0
50,1,2,140,216,0.0,0.0,170,0.0,0,nan,nan,3.0,0
50,1,2,170,209,0.0,1.0,116,0.0,0,nan,nan,nan,0
50,1,4,140,129,0.0,0.0,135,0.0,0,nan,nan,nan,0
50,1,4,150,215,0.0,0.0,140,1.0,0,nan,nan,nan,0
51,0,2,160,194,0.0,0.0,170,0.0,0,nan,nan,nan,0
51,0,3,110,190,0.0,0.0,120,0.0,0,nan,nan,nan,0
51,0,3,130,220,0.0,0.0,160,1.0,2,1.0,nan,nan,0
51,0,3,150,200,0.0,0.0,120,0.0,0,1.0,nan,nan,0
51,1,2,125,188,0.0,0.0,145,0.0,0,nan,nan,nan,0
51,1,2,130,224,0.0,0.0,150,0.0,0,nan,nan,nan,0
51,1,4,130,179,0.0,0.0,100,0.0,0,nan,nan,7.0,0
52,0,2,120,210,0.0,0.0,148,0.0,0,nan,nan,nan,0
52,0,2,140,-2147483648,0.0,0.0,140,0.0,0,nan,nan,nan,0
52,0,3,125,272,0.0,0.0,139,0.0,0,nan,nan,nan,0
52,0,4,130,180,0.0,0.0,140,1.0,1,2.0,nan,nan,0
52,1,2,120,284,0.0,0.0,118,0.0,0,nan,nan,nan,0
52,1,2,140,100,0.0,0.0,138,1.0,0,nan,nan,nan,0
52,1,2,160,196,0.0,0.0,165,0.0,0,nan,nan,nan,0
52,1,3,140,259,0.0,1.0,170,0.0,0,nan,nan,nan,0
53,0,2,113,468,nan,0.0,127,0.0,0,nan,nan,nan,0
53,0,2,140,216,0.0,0.0,142,1.0,2,2.0,nan,nan,0
53,0,3,120,274,0.0,0.0,130,0.0,0,nan,nan,nan,0
53,1,2,120,-2147483648,0.0,0.0,132,0.0,0,nan,nan,nan,0
53,1,2,140,320,0.0,0.0,162,0.0,0,nan,nan,nan,0
53,1,3,120,195,0.0,0.0,140,0.0,0,nan,nan,nan,0
53,1,4,124,260,0.0,1.0,112,1.0,3,2.0,nan,nan,0
53,1,4,130,182,0.0,0.0,148,0.0,0,nan,nan,nan,0
53,1,4,140,243,0.0,0.0,155,0.0,0,nan,nan,nan,0
54,0,2,120,221,0.0,0.0,138,0.0,1,1.0,nan,nan,0
54,0,2,120,230,1.0,0.0,140,0.0,0,nan,nan,nan,0
54,0,2,120,273,0.0,0.0,150,0.0,1,2.0,nan,nan,0
54,0,2,130,253,0.0,1.0,155,0.0,0,nan,nan,nan,0
54,0,2,140,309,nan,1.0,140,0.0,0,nan,nan,nan,0
54,0,2,150,230,0.0,0.0,130,0.0,0,nan,nan,nan,0
54,0,2,160,312,0.0,0.0,130,0.0,0,nan,nan,nan,0
54,1,1,120,171,0.0,0.0,137,0.0,2,1.0,nan,nan,0
54,1,2,110,208,0.0,0.0,142,0.0,0,nan,nan,nan,0
54,1,2,120,238,0.0,0.0,154,0.0,0,nan,nan,nan,0
54,1,2,120,246,0.0,0.0,110,0.0,0,nan,nan,nan,0
54,1,2,160,195,0.0,1.0,130,0.0,1,1.0,nan,nan,0
54,1,2,160,305,0.0,0.0,175,0.0,0,nan,nan,nan,0
54,1,3,120,217,0.0,0.0,137,0.0,0,nan,nan,nan,0
54,1,3,150,-2147483648,0.0,0.0,122,0.0,0,nan,nan,nan,0
54,1,4,150,365,0.0,1.0,134,0.0,1,1.0,nan,nan,0
55,0,2,110,344,0.0,1.0,160,0.0,0,nan,nan,nan,0
55,0,2,122,320,0.0,0.0,155,0.0,0,nan,nan,nan,0
55,0,2,130,394,0.0,2.0,150,0.0,0,nan,nan,nan,0
55,1,2,120,256,1.0,0.0,137,0.0,0,nan,nan,7.0,0
55,1,2,140,196,0.0,0.0,150,0.0,0,nan,nan,7.0,0
55,1,2,145,326,0.0,0.0,155,0.0,0,nan,nan,nan,0
55,1,3,110,277,0.0,0.0,160,0.0,0,nan,nan,nan,0
55,1,3,120,220,0.0,2.0,134,0.0,0,nan,nan,nan,0
55,1,4,120,270,0.0,0.0,140,0.0,0,nan,nan,nan,0
55,1,4,140,229,0.0,0.0,110,1.0,0,2.0,nan,nan,0
56,0,3,130,219,nan,1.0,164,0.0,0,nan,nan,7.0,0
56,1,2,130,184,0.0,0.0,100,0.0,0,nan,nan,nan,0
56,1,3,130,-2147483648,0.0,0.0,114,0.0,0,nan,nan,nan,0
56,1,3,130,276,0.0,0.0,128,1.0,1,1.0,nan,6.0,0
56,1,4,120,85,0.0,0.0,140,0.0,0,nan,nan,nan,0
57,0,1,130,308,0.0,0.0,98,0.0,1,2.0,nan,nan,0
57,0,4,180,347,0.0,1.0,126,1.0,0,2.0,nan,nan,0
57,1,2,140,260,1.0,0.0,140,0.0,0,nan,nan,6.0,0
58,1,2,130,230,0.0,0.0,150,0.0,0,nan,nan,nan,0
58,1,2,130,251,0.0,0.0,110,0.0,0,nan,nan,nan,0
58,1,3,140,179,0.0,0.0,160,0.0,0,nan,nan,nan,0
58,1,4,135,222,0.0,0.0,100,0.0,0,nan,nan,nan,0
59,0,2,130,188,0.0,0.0,124,0.0,1,2.0,nan,nan,0
59,1,2,140,287,0.0,0.0,150,0.0,0,nan,nan,nan,0
59,1,3,130,318,0.0,0.0,120,1.0,1,2.0,nan,3.0,0
59,1,3,180,213,0.0,0.0,100,0.0,0,nan,nan,nan,0
59,1,4,140,-2147483648,0.0,0.0,140,0.0,0,nan,0.0,nan,0
60,1,3,120,246,0.0,2.0,135,0.0,0,nan,nan,nan,0
61,0,4,130,294,0.0,1.0,120,1.0,1,2.0,nan,nan,0
61,1,4,125,292,0.0,1.0,115,1.0,0,nan,nan,nan,0
62,0,1,160,193,0.0,0.0,116,0.0,0,nan,nan,nan,0
62,1,2,140,271,0.0,0.0,152,0.0,1,1.0,nan,nan,0
31,1,4,120,270,0.0,0.0,153,1.0,1,2.0,nan,nan,1
33,0,4,100,246,0.0,0.0,150,1.0,1,2.0,nan,nan,1
34,1,1,140,156,0.0,0.0,180,0.0,0,nan,nan,nan,1
35,1,2,110,257,0.0,0.0,140,0.0,0,nan,nan,nan,1
36,1,2,120,267,0.0,0.0,160,0.0,3,2.0,nan,nan,1
37,1,4,140,207,0.0,0.0,130,1.0,1,2.0,nan,nan,1
38,1,4,110,196,0.0,0.0,166,0.0,0,nan,nan,nan,1
38,1,4,120,282,0.0,0.0,170,0.0,0,nan,nan,nan,1
38,1,4,92,117,0.0,0.0,134,1.0,2,2.0,nan,nan,1
40,1,4,120,466,nan,0.0,152,1.0,1,2.0,nan,6.0,1
41,1,4,110,289,0.0,0.0,170,0.0,0,nan,nan,6.0,1
41,1,4,120,237,nan,0.0,138,1.0,1,2.0,nan,nan,1
43,1,4,150,247,0.0,0.0,130,1.0,2,2.0,nan,nan,1
46,1,4,110,202,0.0,0.0,150,1.0,0,nan,nan,nan,1
46,1,4,118,186,0.0,0.0,124,0.0,0,nan,nan,7.0,1
46,1,4,120,277,0.0,0.0,125,1.0,1,2.0,nan,nan,1
47,1,3,140,193,0.0,0.0,145,1.0,1,2.0,nan,nan,1
47,1,4,150,226,0.0,0.0,98,1.0,1,2.0,0.0,7.0,1
48,1,4,106,263,1.0,0.0,110,0.0,0,nan,nan,nan,1
48,1,4,120,260,0.0,0.0,115,0.0,2,2.0,nan,nan,1
48,1,4,160,268,0.0,0.0,103,1.0,1,2.0,nan,nan,1
49,0,3,160,180,0.0,0.0,156,0.0,1,2.0,nan,nan,1
49,1,3,115,265,0.0,0.0,175,0.0,0,nan,nan,nan,1
49,1,4,130,206,0.0,0.0,170,0.0,0,nan,nan,nan,1
50,0,3,140,288,0.0,0.0,140,1.0,0,nan,nan,7.0,1
50,1,4,145,264,0.0,0.0,150,0.0,0,nan,nan,nan,1
51,0,4,160,303,0.0,0.0,150,1.0,1,2.0,nan,nan,1
52,1,4,130,225,0.0,0.0,120,1.0,2,2.0,nan,nan,1
54,1,4,125,216,0.0,0.0,140,0.0,0,nan,nan,nan,1
54,1,4,125,224,0.0,0.0,122,0.0,2,2.0,nan,nan,1
55,1,4,140,201,0.0,0.0,130,1.0,3,2.0,nan,nan,1
57,1,2,140,265,0.0,1.0,145,1.0,1,2.0,nan,nan,1
58,1,3,130,213,0.0,1.0,140,0.0,0,nan,nan,6.0,1
59,0,4,130,338,1.0,1.0,130,1.0,1,2.0,nan,nan,1
60,1,4,100,248,0.0,0.0,125,0.0,1,2.0,nan,nan,1
63,1,4,150,223,0.0,0.0,115,0.0,0,nan,nan,nan,1
65,1,4,140,306,1.0,0.0,87,1.0,1,2.0,nan,nan,1
32,1,4,118,529,0.0,0.0,130,0.0,0,nan,nan,nan,1
38,1,4,110,-2147483648,0.0,0.0,150,1.0,1,2.0,nan,nan,1
39,1,4,110,280,0.0,0.0,150,0.0,0,nan,nan,6.0,1
40,0,4,150,392,0.0,0.0,130,0.0,2,2.0,nan,6.0,1
43,1,1,120,291,0.0,1.0,155,0.0,0,nan,nan,nan,1
45,1,4,130,219,0.0,1.0,130,1.0,1,2.0,nan,nan,1
46,1,4,120,231,0.0,0.0,115,1.0,0,nan,nan,nan,1
46,1,4,130,222,0.0,0.0,112,0.0,0,nan,nan,nan,1
48,1,4,122,275,1.0,1.0,150,1.0,2,3.0,nan,nan,1
48,1,4,160,193,0.0,0.0,102,1.0,3,2.0,nan,nan,1
48,1,4,160,329,0.0,0.0,92,1.0,1,2.0,nan,nan,1
48,1,4,160,355,0.0,0.0,99,1.0,2,2.0,nan,nan,1
50,1,4,130,233,0.0,0.0,121,1.0,2,2.0,nan,7.0,1
52,1,4,120,182,0.0,0.0,150,0.0,0,nan,nan,nan,1
52,1,4,170,-2147483648,0.0,0.0,126,1.0,1,2.0,nan,nan,1
53,1,4,120,246,0.0,0.0,116,1.0,0,nan,nan,nan,1
54,1,3,120,237,0.0,0.0,150,1.0,1,nan,nan,7.0,1
54,1,4,130,242,0.0,0.0,91,1.0,1,2.0,nan,nan,1
54,1,4,130,603,1.0,0.0,125,1.0,1,2.0,nan,nan,1
54,1,4,140,-2147483648,0.0,0.0,118,1.0,0,nan,nan,nan,1
54,1,4,200,198,0.0,0.0,142,1.0,2,2.0,nan,nan,1
55,1,4,140,268,0.0,0.0,128,1.0,1,2.0,nan,nan,1
56,1,4,150,213,1.0,0.0,125,1.0,1,2.0,nan,nan,1
57,1,4,150,255,0.0,0.0,92,1.0,3,2.0,nan,nan,1
58,1,3,160,211,1.0,1.0,92,0.0,0,nan,nan,nan,1
58,1,4,130,263,0.0,0.0,140,1.0,2,2.0,nan,nan,1
41,1,4,130,172,0.0,1.0,130,0.0,2,2.0,nan,nan,1
43,1,4,120,175,0.0,0.0,120,1.0,1,2.0,nan,7.0,1
44,1,2,150,288,0.0,0.0,150,1.0,3,2.0,nan,nan,1
44,1,4,130,290,0.0,0.0,100,1.0,2,2.0,nan,nan,1
46,1,1,140,272,1.0,0.0,175,0.0,2,2.0,nan,nan,1
47,0,3,135,248,1.0,0.0,170,0.0,0,nan,nan,nan,1
48,0,4,138,214,0.0,0.0,108,1.0,1,2.0,nan,nan,1
49,1,4,130,341,0.0,0.0,120,1.0,1,2.0,nan,nan,1
49,1,4,140,234,0.0,0.0,140,1.0,1,2.0,nan,nan,1
51,1,3,135,160,0.0,0.0,150,0.0,2,2.0,nan,nan,1
52,1,4,112,342,0.0,1.0,96,1.0,1,2.0,nan,nan,1
52,1,4,130,298,0.0,0.0,110,1.0,1,2.0,nan,nan,1
52,1,4,140,404,0.0,0.0,124,1.0,2,2.0,nan,nan,1
52,1,4,160,246,0.0,1.0,82,1.0,4,2.0,nan,nan,1
53,1,3,145,518,0.0,0.0,130,0.0,0,nan,nan,nan,1
53,1,4,180,285,0.0,1.0,120,1.0,1,2.0,nan,nan,1
54,1,4,140,216,0.0,0.0,105,0.0,1,2.0,nan,nan,1
55,1,1,140,295,0.0,nan,136,0.0,0,nan,nan,nan,1
55,1,2,160,292,1.0,0.0,143,1.0,2,2.0,nan,nan,1
55,1,4,145,248,0.0,0.0,96,1.0,2,2.0,nan,nan,1
56,0,2,120,279,0.0,0.0,150,0.0,1,2.0,nan,nan,1
56,1,4,150,230,0.0,1.0,124,1.0,1,2.0,nan,nan,1
56,1,4,170,388,0.0,1.0,122,1.0,2,2.0,nan,nan,1
58,1,2,136,164,0.0,1.0,99,1.0,2,2.0,nan,nan,1
59,1,4,130,-2147483648,0.0,0.0,125,0.0,0,nan,nan,nan,1
59,1,4,140,264,1.0,2.0,119,1.0,0,nan,nan,nan,1
65,1,4,170,263,1.0,0.0,112,1.0,2,2.0,nan,nan,1
66,1,4,140,-2147483648,0.0,0.0,94,1.0,1,2.0,nan,nan,1
41,1,4,120,336,0.0,0.0,118,1.0,3,2.0,nan,nan,1
43,1,4,140,288,0.0,0.0,135,1.0,2,2.0,nan,nan,1
44,1,4,135,491,0.0,0.0,135,0.0,0,nan,nan,nan,1
47,0,4,120,205,0.0,0.0,98,1.0,2,2.0,nan,6.0,1
47,1,4,160,291,0.0,1.0,158,1.0,3,2.0,nan,nan,1
49,1,4,128,212,0.0,0.0,96,1.0,0,nan,nan,nan,1
49,1,4,150,222,0.0,0.0,122,0.0,2,2.0,nan,nan,1
50,1,4,140,231,0.0,1.0,140,1.0,5,2.0,nan,nan,1
50,1,4,140,341,0.0,1.0,125,1.0,2,2.0,nan,nan,1
52,1,4,140,266,0.0,0.0,134,1.0,2,2.0,nan,nan,1
52,1,4,160,331,0.0,0.0,94,1.0,2,nan,nan,nan,1
54,0,3,130,294,0.0,1.0,100,1.0,0,2.0,nan,nan,1
56,1,4,155,342,1.0,0.0,150,1.0,3,2.0,nan,nan,1
58,0,2,180,393,0.0,0.0,110,1.0,1,2.0,nan,7.0,1
65,1,4,130,275,0.0,1.0,115,1.0,1,2.0,nan,nan,1