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Ricardo Montañana Gómez
2020-11-20 11:23:40 +01:00
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data/tanveer/heart-hungarian/conxuntos.dat Executable file
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data/tanveer/heart-hungarian/conxuntos_kfold.dat Executable file
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data/tanveer/heart-hungarian/descripcion_heart.pdf Executable file
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data/tanveer/heart-hungarian/heart-disease.names Executable file
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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

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data/tanveer/heart-hungarian/heart-hungarian.arff Executable file
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@relation heart-hungarian
@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 'clase' {0,1}
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5
data/tanveer/heart-hungarian/heart-hungarian.cost Executable file
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@@ -0,0 +1,5 @@
% Rows Columns
2 2
% Matrix elements
0.0 1.0
1.0 0.0

8
data/tanveer/heart-hungarian/heart-hungarian.txt Executable file
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@@ -0,0 +1,8 @@
n_entradas= 12
n_clases= 2
n_arquivos= 1
fich1= heart-hungarian_R.dat
n_patrons1= 294
n_patrons_entrena= 147
n_patrons_valida= 147
n_conxuntos= 1

295
data/tanveer/heart-hungarian/heart-hungarian_R.dat Executable file
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@@ -0,0 +1,295 @@
f1 f2 f3 f4 f5 f6 f7 f8 f9 f10 f11 f12 clase
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133 0.662262 -1.61885 -1.01852 0.409321 -0.162559 -0.269712 -0.472969 0.134235 1.5151 1.5561 1.43122 -0.310615 0
134 0.662262 -1.61885 0.0176215 -0.631236 0.456733 -0.269712 -0.472969 -0.347535 -0.657776 -0.644974 -0.7211 -0.310615 0
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139 0.662262 0.61562 1.05377 -0.110957 -0.525592 -0.269712 -0.472969 0.375119 -0.657776 -0.644974 -0.7211 -0.310615 0
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145 0.790274 -1.61885 -1.01852 0.409321 0.830444 -0.269712 1.69973 0.0539396 -0.657776 -0.644974 -0.7211 -0.310615 0
146 0.790274 -1.61885 -1.01852 0.9296 -0.0130744 -0.269712 -0.472969 -0.347535 -0.657776 -0.644974 -0.7211 -0.310615 0
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153 0.790274 0.61562 -1.01852 1.44988 0.787734 -0.269712 -0.472969 1.4591 -0.657776 -0.644974 -0.7211 -0.310615 0
154 0.790274 0.61562 0.0176215 -0.631236 -0.151881 -0.269712 -0.472969 -0.0665028 -0.657776 -0.644974 -0.7211 -0.310615 0
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156 0.790274 0.61562 1.05377 0.9296 1.42838 -0.269712 1.69973 -0.186945 -0.657776 0.455562 0.355059 -0.310615 0
157 0.918285 -1.61885 -1.01852 -1.15152 1.20415 -0.269712 1.69973 0.856889 -0.657776 -0.644974 -0.7211 -0.310615 0
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160 0.918285 0.61562 -1.01852 -0.631236 0.264539 3.69505 -0.472969 -0.0665028 -0.657776 -0.644974 -0.7211 3.73524 0
161 0.918285 0.61562 -1.01852 0.409321 -0.376108 -0.269712 -0.472969 0.455414 -0.657776 -0.644974 -0.7211 3.73524 0
162 0.918285 0.61562 -1.01852 0.669461 1.01196 -0.269712 -0.472969 0.656151 -0.657776 -0.644974 -0.7211 -0.310615 0
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164 0.918285 0.61562 0.0176215 -0.631236 -0.119849 -0.269712 3.87243 -0.186945 -0.657776 -0.644974 -0.7211 -0.310615 0
165 0.918285 0.61562 1.05377 -0.631236 0.414024 -0.269712 -0.472969 0.0539396 -0.657776 -0.644974 -0.7211 -0.310615 0
166 0.918285 0.61562 1.05377 0.409321 -0.0237519 -0.269712 -0.472969 -1.15048 1.5151 -0.094706 1.43122 -0.310615 0
167 1.0463 -1.61885 0.0176215 -0.110957 -0.130526 -0.269712 1.69973 1.01748 -0.657776 -0.644974 -0.7211 3.73524 0
168 1.0463 0.61562 -1.01852 -0.110957 -0.504237 -0.269712 -0.472969 -1.55196 -0.657776 -0.644974 -0.7211 -0.310615 0
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170 1.0463 0.61562 0.0176215 -0.110957 0.478088 -0.269712 -0.472969 -0.42783 1.5151 0.455562 0.355059 3.15726 0
171 1.0463 0.61562 1.05377 -0.631236 -1.5613 -0.269712 -0.472969 0.0539396 -0.657776 -0.644974 -0.7211 -0.310615 0
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173 1.17431 -1.61885 1.05377 2.49044 1.23619 -0.269712 1.69973 -0.508125 1.5151 0.235455 1.43122 -0.310615 0
174 1.17431 0.61562 -1.01852 0.409321 0.307249 3.69505 -0.472969 0.0539396 -0.657776 -0.644974 -0.7211 3.15726 0
175 1.30232 0.61562 -1.01852 -0.110957 -0.0130744 -0.269712 -0.472969 0.455414 -0.657776 -0.644974 -0.7211 -0.310615 0
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178 1.30232 0.61562 1.05377 0.149182 -0.098494 -0.269712 -0.472969 -1.55196 -0.657776 -0.644974 -0.7211 -0.310615 0
179 1.43033 -1.61885 -1.01852 -0.110957 -0.461527 -0.269712 -0.472969 -0.58842 -0.657776 0.455562 1.43122 -0.310615 0
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181 1.43033 0.61562 0.0176215 -0.110957 0.926541 -0.269712 -0.472969 -0.749009 1.5151 0.455562 1.43122 1.42332 0
182 1.43033 0.61562 0.0176215 2.49044 -0.194591 -0.269712 -0.472969 -1.55196 -0.657776 -0.644974 -0.7211 -0.310615 0
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185 1.68635 -1.61885 1.05377 -0.110957 0.670282 -0.269712 1.69973 -0.749009 1.5151 0.455562 1.43122 -0.310615 0
186 1.68635 0.61562 1.05377 -0.371097 0.648927 -0.269712 1.69973 -0.949747 1.5151 -0.644974 -0.7211 -0.310615 0
187 1.81436 -1.61885 -2.05467 1.44988 -0.40814 -0.269712 -0.472969 -0.909599 -0.657776 -0.644974 -0.7211 -0.310615 0
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190 -1.89796 -1.61885 1.05377 -1.67179 0.157765 -0.269712 -0.472969 0.455414 1.5151 0.455562 1.43122 -0.310615 1
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194 -1.38592 0.61562 1.05377 0.409321 -0.258656 -0.269712 -0.472969 -0.347535 1.5151 1.00583 1.43122 -0.310615 1
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198 -1.00188 0.61562 1.05377 -0.631236 2.5068 -0.269712 -0.472969 0.535709 1.5151 0.455562 1.43122 3.15726 1
199 -0.873873 0.61562 1.05377 -1.15152 0.616895 -0.269712 -0.472969 1.25836 -0.657776 -0.644974 -0.7211 3.15726 1
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206 -0.105805 0.61562 1.05377 0.9296 -0.0557842 -0.269712 -0.472969 -1.63225 1.5151 1.00583 1.43122 3.73524 1
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221 1.30232 0.61562 0.0176215 -0.110957 -0.194591 -0.269712 1.69973 0.0539396 -0.657776 -0.644974 -0.7211 3.15726 1
222 1.43033 -1.61885 1.05377 -0.110957 1.14009 3.69505 1.69973 -0.347535 1.5151 1.00583 1.43122 -0.310615 1
223 1.55834 0.61562 1.05377 -1.67179 0.17912 -0.269712 -0.472969 -0.548272 -0.657776 0.455562 1.43122 -0.310615 1
224 1.94238 0.61562 1.05377 0.9296 -0.0878166 -0.269712 -0.472969 -0.949747 -0.657776 -0.644974 -0.7211 -0.310615 1
225 2.1984 0.61562 1.05377 0.409321 0.798412 3.69505 -0.472969 -2.07388 1.5151 1.00583 1.43122 -0.310615 1
226 -2.02597 0.61562 1.05377 -0.735292 3.17948 -0.269712 -0.472969 -0.347535 -0.657776 -0.644974 -0.7211 -0.310615 1
227 -1.25791 0.61562 1.05377 -1.15152 -2.46889 -0.269712 -0.472969 0.455414 1.5151 0.455562 1.43122 -0.310615 1
228 -1.1299 0.61562 1.05377 -1.15152 0.520798 -0.269712 -0.472969 0.455414 -0.657776 -0.644974 -0.7211 3.15726 1
229 -1.00188 -1.61885 1.05377 0.9296 1.71667 -0.269712 -0.472969 -0.347535 -0.657776 1.5561 1.43122 3.15726 1
230 -0.61785 0.61562 -2.05467 -0.631236 0.63825 -0.269712 1.69973 0.656151 -0.657776 -0.644974 -0.7211 -0.310615 1
231 -0.361828 0.61562 1.05377 -0.110957 -0.130526 -0.269712 1.69973 -0.347535 1.5151 0.455562 1.43122 -0.310615 1
232 -0.233816 0.61562 1.05377 -0.631236 -0.00239698 -0.269712 -0.472969 -0.949747 1.5151 -0.644974 -0.7211 -0.310615 1
233 -0.233816 0.61562 1.05377 -0.110957 -0.098494 -0.269712 -0.472969 -1.07019 -0.657776 -0.644974 -0.7211 -0.310615 1
234 0.022206 0.61562 1.05377 -0.527181 0.467411 3.69505 1.69973 0.455414 1.5151 1.5561 2.50738 -0.310615 1
235 0.022206 0.61562 1.05377 1.44988 -0.40814 -0.269712 -0.472969 -1.47166 1.5151 2.65663 1.43122 -0.310615 1
236 0.022206 0.61562 1.05377 1.44988 1.04399 -0.269712 -0.472969 -1.87314 1.5151 1.00583 1.43122 -0.310615 1
237 0.022206 0.61562 1.05377 1.44988 1.32161 -0.269712 -0.472969 -1.59211 1.5151 1.5561 1.43122 -0.310615 1
238 0.278229 0.61562 1.05377 -0.110957 0.0189579 -0.269712 -0.472969 -0.708862 1.5151 1.5561 1.43122 3.73524 1
239 0.534251 0.61562 1.05377 -0.631236 -0.525592 -0.269712 -0.472969 0.455414 -0.657776 -0.644974 -0.7211 -0.310615 1
240 0.534251 0.61562 1.05377 1.97016 -2.46889 -0.269712 -0.472969 -0.508125 1.5151 1.00583 1.43122 -0.310615 1
241 0.662262 0.61562 1.05377 -0.631236 0.157765 -0.269712 -0.472969 -0.909599 1.5151 -0.644974 -0.7211 -0.310615 1
242 0.790274 0.61562 0.0176215 -0.631236 0.0616677 -0.269712 -0.472969 0.455414 1.5151 1.00583 -0.7211 3.73524 1
243 0.790274 0.61562 1.05377 -0.110957 0.115055 -0.269712 -0.472969 -1.91329 1.5151 0.455562 1.43122 -0.310615 1
244 0.790274 0.61562 1.05377 -0.110957 3.96961 3.69505 -0.472969 -0.548272 1.5151 0.455562 1.43122 -0.310615 1
245 0.790274 0.61562 1.05377 0.409321 -2.46889 -0.269712 -0.472969 -0.829304 1.5151 -0.644974 -0.7211 -0.310615 1
246 0.790274 0.61562 1.05377 3.531 -0.354753 -0.269712 -0.472969 0.134235 1.5151 1.5561 1.43122 -0.310615 1
247 0.918285 0.61562 1.05377 0.409321 0.392669 -0.269712 -0.472969 -0.42783 1.5151 1.00583 1.43122 -0.310615 1
248 1.0463 0.61562 1.05377 0.9296 -0.194591 3.69505 -0.472969 -0.548272 1.5151 0.455562 1.43122 -0.310615 1
249 1.17431 0.61562 1.05377 0.9296 0.253862 -0.269712 -0.472969 -1.87314 1.5151 2.65663 1.43122 -0.310615 1
250 1.30232 0.61562 0.0176215 1.44988 -0.215946 3.69505 1.69973 -1.87314 -0.657776 -0.644974 -0.7211 -0.310615 1
251 1.30232 0.61562 1.05377 -0.110957 0.339281 -0.269712 -0.472969 0.0539396 1.5151 1.5561 1.43122 -0.310615 1
252 -0.873873 0.61562 1.05377 -0.110957 -0.632366 -0.269712 1.69973 -0.347535 -0.657776 1.5561 1.43122 -0.310615 1
253 -0.61785 0.61562 1.05377 -0.631236 -0.600334 -0.269712 -0.472969 -0.749009 1.5151 0.455562 1.43122 3.73524 1
254 -0.489839 0.61562 -1.01852 0.9296 0.606218 -0.269712 -0.472969 0.455414 1.5151 2.65663 1.43122 -0.310615 1
255 -0.489839 0.61562 1.05377 -0.110957 0.627572 -0.269712 -0.472969 -1.55196 1.5151 1.5561 1.43122 -0.310615 1
256 -0.233816 0.61562 -2.05467 0.409321 0.435378 3.69505 -0.472969 1.4591 -0.657776 1.5561 1.43122 -0.310615 1
257 -0.105805 -1.61885 0.0176215 0.149182 0.17912 3.69505 -0.472969 1.25836 -0.657776 -0.644974 -0.7211 -0.310615 1
258 0.022206 -1.61885 1.05377 0.305266 -0.183914 -0.269712 -0.472969 -1.23078 1.5151 1.00583 1.43122 -0.310615 1
259 0.150217 0.61562 1.05377 -0.110957 1.17212 -0.269712 -0.472969 -0.749009 1.5151 0.455562 1.43122 -0.310615 1
260 0.150217 0.61562 1.05377 0.409321 0.0296354 -0.269712 -0.472969 0.0539396 1.5151 0.455562 1.43122 -0.310615 1
261 0.40624 0.61562 0.0176215 0.149182 -0.760496 -0.269712 -0.472969 0.455414 -0.657776 1.5561 1.43122 -0.310615 1
262 0.534251 0.61562 1.05377 -1.04746 1.1828 -0.269712 1.69973 -1.71255 1.5151 0.455562 1.43122 -0.310615 1
263 0.534251 0.61562 1.05377 -0.110957 0.712992 -0.269712 -0.472969 -1.15048 1.5151 0.455562 1.43122 -0.310615 1
264 0.534251 0.61562 1.05377 0.409321 1.8448 -0.269712 -0.472969 -0.58842 1.5151 1.5561 1.43122 -0.310615 1
265 0.534251 0.61562 1.05377 1.44988 0.157765 -0.269712 1.69973 -2.27461 1.5151 3.75717 1.43122 -0.310615 1
266 0.662262 0.61562 0.0176215 0.669461 3.06203 -0.269712 -0.472969 -0.347535 -0.657776 -0.644974 -0.7211 -0.310615 1
267 0.662262 0.61562 1.05377 2.49044 0.574185 -0.269712 1.69973 -0.749009 1.5151 1.00583 1.43122 -0.310615 1
268 0.790274 0.61562 1.05377 0.409321 -0.162559 -0.269712 -0.472969 -1.35122 -0.657776 1.00583 1.43122 -0.310615 1
269 0.918285 0.61562 -2.05467 0.409321 0.68096 -0.269712 -0.472969 -0.10665 -0.657776 -0.644974 -0.7211 -0.310615 1
270 0.918285 0.61562 -1.01852 1.44988 0.648927 3.69505 -0.472969 0.174382 1.5151 1.5561 1.43122 -0.310615 1
271 0.918285 0.61562 1.05377 0.669461 0.17912 -0.269712 -0.472969 -1.71255 1.5151 1.5561 1.43122 -0.310615 1
272 1.0463 -1.61885 -1.01852 -0.631236 0.510121 -0.269712 -0.472969 0.455414 -0.657776 0.455562 1.43122 -0.310615 1
273 1.0463 0.61562 1.05377 0.9296 -0.0130744 -0.269712 1.69973 -0.58842 1.5151 1.00583 1.43122 -0.310615 1
274 1.0463 0.61562 1.05377 1.97016 1.67396 -0.269712 1.69973 -0.668715 1.5151 1.5561 1.43122 -0.310615 1
275 1.30232 0.61562 -1.01852 0.20121 -0.717786 -0.269712 1.69973 -1.59211 1.5151 1.5561 1.43122 -0.310615 1
276 1.43033 0.61562 1.05377 -0.110957 -2.46889 -0.269712 -0.472969 -0.548272 -0.657776 -0.644974 -0.7211 -0.310615 1
277 1.43033 0.61562 1.05377 0.409321 0.349959 3.69505 3.87243 -0.789157 1.5151 -0.644974 -0.7211 -0.310615 1
278 2.1984 0.61562 1.05377 1.97016 0.339281 3.69505 -0.472969 -1.07019 1.5151 1.5561 1.43122 -0.310615 1
279 2.32641 0.61562 1.05377 0.409321 -2.46889 -0.269712 -0.472969 -1.79284 1.5151 0.455562 1.43122 -0.310615 1
280 -0.873873 0.61562 1.05377 -0.631236 1.11874 -0.269712 -0.472969 -0.829304 1.5151 2.65663 1.43122 -0.310615 1
281 -0.61785 0.61562 1.05377 0.409321 0.606218 -0.269712 -0.472969 -0.146798 1.5151 1.5561 1.43122 -0.310615 1
282 -0.489839 0.61562 1.05377 0.149182 2.77374 -0.269712 -0.472969 -0.146798 -0.657776 -0.644974 -0.7211 -0.310615 1
283 -0.105805 -1.61885 1.05377 -0.631236 -0.280011 -0.269712 -0.472969 -1.63225 1.5151 1.5561 1.43122 3.15726 1
284 -0.105805 0.61562 1.05377 1.44988 0.63825 -0.269712 1.69973 0.776594 1.5151 2.65663 1.43122 -0.310615 1
285 0.150217 0.61562 1.05377 -0.215013 -0.205269 -0.269712 -0.472969 -1.71255 1.5151 -0.644974 -0.7211 -0.310615 1
286 0.150217 0.61562 1.05377 0.9296 -0.098494 -0.269712 -0.472969 -0.668715 -0.657776 1.5561 1.43122 -0.310615 1
287 0.278229 0.61562 1.05377 0.409321 -0.00239698 -0.269712 1.69973 0.0539396 1.5151 4.85771 1.43122 -0.310615 1
288 0.278229 0.61562 1.05377 0.409321 1.17212 -0.269712 1.69973 -0.548272 1.5151 2.10637 1.43122 -0.310615 1
289 0.534251 0.61562 1.05377 0.409321 0.371314 -0.269712 -0.472969 -0.186945 1.5151 1.5561 1.43122 -0.310615 1
290 0.534251 0.61562 1.05377 1.44988 1.06535 -0.269712 -0.472969 -1.79284 1.5151 2.10637 -0.7211 -0.310615 1
291 0.790274 -1.61885 0.0176215 -0.110957 0.670282 -0.269712 1.69973 -1.55196 1.5151 -0.644974 1.43122 -0.310615 1
292 1.0463 0.61562 1.05377 1.18974 1.1828 3.69505 -0.472969 0.455414 1.5151 2.65663 1.43122 -0.310615 1
293 1.30232 -1.61885 -1.01852 2.49044 1.72735 -0.269712 -0.472969 -1.15048 1.5151 0.455562 1.43122 3.73524 1
294 2.1984 0.61562 1.05377 -0.110957 0.467411 -0.269712 1.69973 -0.949747 1.5151 0.455562 1.43122 -0.310615 1

29
data/tanveer/heart-hungarian/le_datos.m Executable file
View File

@@ -0,0 +1,29 @@
printf('lendo problema %s ...\n', problema);
n_entradas= 13; n_clases= 2; n_fich= 1; fich{1}= 'processed.hungarian.data'; n_patrons(1)= 294;
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
t = fscanf(f,'%c',1);
if t ~= '?'
fseek(f,-1,SEEK_CUR); t = fscanf(f, '%f',1); x(i_fich,i,j) = t;
else
x(i_fich,i,j) = 0;
end
fscanf(f,'%c',1);
end
cl(i_fich,i) = fscanf(f,'%i',1); % lectura da clase
end
fclose(f);
end

294
data/tanveer/heart-hungarian/processed.hungarian.data Executable file
View File

@@ -0,0 +1,294 @@
28 1 2 130 132 0 2 185 0 0 ? ? ? 0
29 1 2 120 243 0 0 160 0 0 ? ? ? 0
29 1 2 140 ? 0 0 170 0 0 ? ? ? 0
30 0 1 170 237 0 1 170 0 0 ? ? 6 0
31 0 2 100 219 0 1 150 0 0 ? ? ? 0
32 0 2 105 198 0 0 165 0 0 ? ? ? 0
32 1 2 110 225 0 0 184 0 0 ? ? ? 0
32 1 2 125 254 0 0 155 0 0 ? ? ? 0
33 1 3 120 298 0 0 185 0 0 ? ? ? 0
34 0 2 130 161 0 0 190 0 0 ? ? ? 0
34 1 2 150 214 0 1 168 0 0 ? ? ? 0
34 1 2 98 220 0 0 150 0 0 ? ? ? 0
35 0 1 120 160 0 1 185 0 0 ? ? ? 0
35 0 4 140 167 0 0 150 0 0 ? ? ? 0
35 1 2 120 308 0 2 180 0 0 ? ? ? 0
35 1 2 150 264 0 0 168 0 0 ? ? ? 0
36 1 2 120 166 0 0 180 0 0 ? ? ? 0
36 1 3 112 340 0 0 184 0 1 2 ? 3 0
36 1 3 130 209 0 0 178 0 0 ? ? ? 0
36 1 3 150 160 0 0 172 0 0 ? ? ? 0
37 0 2 120 260 0 0 130 0 0 ? ? ? 0
37 0 3 130 211 0 0 142 0 0 ? ? ? 0
37 0 4 130 173 0 1 184 0 0 ? ? ? 0
37 1 2 130 283 0 1 98 0 0 ? ? ? 0
37 1 3 130 194 0 0 150 0 0 ? ? ? 0
37 1 4 120 223 0 0 168 0 0 ? ? 3 0
37 1 4 130 315 0 0 158 0 0 ? ? ? 0
38 0 2 120 275 ? 0 129 0 0 ? ? ? 0
38 1 2 140 297 0 0 150 0 0 ? ? ? 0
38 1 3 145 292 0 0 130 0 0 ? ? ? 0
39 0 3 110 182 0 1 180 0 0 ? ? ? 0
39 1 2 120 ? 0 1 146 0 2 1 ? ? 0
39 1 2 120 200 0 0 160 1 1 2 ? ? 0
39 1 2 120 204 0 0 145 0 0 ? ? ? 0
39 1 2 130 ? 0 0 120 0 0 ? ? ? 0
39 1 2 190 241 0 0 106 0 0 ? ? ? 0
39 1 3 120 339 0 0 170 0 0 ? ? ? 0
39 1 3 160 147 1 0 160 0 0 ? ? ? 0
39 1 4 110 273 0 0 132 0 0 ? ? ? 0
39 1 4 130 307 0 0 140 0 0 ? ? ? 0
40 1 2 130 275 0 0 150 0 0 ? ? ? 0
40 1 2 140 289 0 0 172 0 0 ? ? ? 0
40 1 3 130 215 0 0 138 0 0 ? ? ? 0
40 1 3 130 281 0 0 167 0 0 ? ? ? 0
40 1 3 140 ? 0 0 188 0 0 ? ? ? 0
41 0 2 110 250 0 1 142 0 0 ? ? ? 0
41 0 2 125 184 0 0 180 0 0 ? ? ? 0
41 0 2 130 245 0 0 150 0 0 ? ? ? 0
41 1 2 120 291 0 1 160 0 0 ? ? ? 0
41 1 2 120 295 0 0 170 0 0 ? ? ? 0
41 1 2 125 269 0 0 144 0 0 ? ? ? 0
41 1 4 112 250 0 0 142 0 0 ? ? ? 0
42 0 3 115 211 0 1 137 0 0 ? ? ? 0
42 1 2 120 196 0 0 150 0 0 ? ? ? 0
42 1 2 120 198 0 0 155 0 0 ? ? ? 0
42 1 2 150 268 0 0 136 0 0 ? ? ? 0
42 1 3 120 228 0 0 152 1 1.5 2 ? ? 0
42 1 3 160 147 0 0 146 0 0 ? ? ? 0
42 1 4 140 358 0 0 170 0 0 ? ? ? 0
43 0 1 100 223 0 0 142 0 0 ? ? ? 0
43 0 2 120 201 0 0 165 0 0 ? ? ? 0
43 0 2 120 215 0 1 175 0 0 ? ? ? 0
43 0 2 120 249 0 1 176 0 0 ? ? ? 0
43 0 2 120 266 0 0 118 0 0 ? ? ? 0
43 0 2 150 186 0 0 154 0 0 ? ? ? 0
43 0 3 150 ? 0 0 175 0 0 ? ? 3 0
43 1 2 142 207 0 0 138 0 0 ? ? ? 0
44 0 4 120 218 0 1 115 0 0 ? ? ? 0
44 1 2 120 184 0 0 142 0 1 2 ? ? 0
44 1 2 130 215 0 0 135 0 0 ? ? ? 0
44 1 4 150 412 0 0 170 0 0 ? ? ? 0
45 0 2 130 237 0 0 170 0 0 ? ? ? 0
45 0 2 180 ? 0 0 180 0 0 ? ? ? 0
45 0 4 132 297 0 0 144 0 0 ? ? ? 0
45 1 2 140 224 1 0 122 0 0 ? ? ? 0
45 1 3 135 ? 0 0 110 0 0 ? ? ? 0
45 1 4 120 225 0 0 140 0 0 ? ? ? 0
45 1 4 140 224 0 0 144 0 0 ? ? ? 0
46 0 4 130 238 0 0 90 0 0 ? ? ? 0
46 1 2 140 275 0 0 165 1 0 ? ? ? 0
46 1 3 120 230 0 0 150 0 0 ? ? ? 0
46 1 3 150 163 ? 0 116 0 0 ? ? ? 0
46 1 4 110 238 0 1 140 1 1 2 ? 3 0
46 1 4 110 240 0 1 140 0 0 ? ? 3 0
46 1 4 180 280 0 1 120 0 0 ? ? ? 0
47 0 2 140 257 0 0 135 0 1 1 ? ? 0
47 0 3 130 ? 0 0 145 0 2 2 ? ? 0
47 1 1 110 249 0 0 150 0 0 ? ? ? 0
47 1 2 160 263 0 0 174 0 0 ? ? ? 0
47 1 4 140 276 1 0 125 1 0 ? ? ? 0
48 0 2 ? 308 0 1 ? ? 2 1 ? ? 0
48 0 2 120 ? 1 1 148 0 0 ? ? ? 0
48 0 2 120 284 0 0 120 0 0 ? ? ? 0
48 0 3 120 195 0 0 125 0 0 ? ? ? 0
48 0 4 108 163 0 0 175 0 2 1 ? ? 0
48 0 4 120 254 0 1 110 0 0 ? ? ? 0
48 0 4 150 227 0 0 130 1 1 2 ? ? 0
48 1 2 100 ? 0 0 100 0 0 ? ? ? 0
48 1 2 130 245 0 0 160 0 0 ? ? ? 0
48 1 2 140 238 0 0 118 0 0 ? ? ? 0
48 1 3 110 211 0 0 138 0 0 ? ? 6 0
49 0 2 110 ? 0 0 160 0 0 ? ? ? 0
49 0 2 110 ? 0 0 160 0 0 ? ? ? 0
49 0 2 124 201 0 0 164 0 0 ? ? ? 0
49 0 3 130 207 0 1 135 0 0 ? ? ? 0
49 1 2 100 253 0 0 174 0 0 ? ? ? 0
49 1 3 140 187 0 0 172 0 0 ? ? ? 0
49 1 4 120 297 ? 0 132 0 1 2 ? ? 0
49 1 4 140 ? 0 0 130 0 0 ? ? ? 0
50 0 2 110 202 0 0 145 0 0 ? ? ? 0
50 0 4 120 328 0 0 110 1 1 2 ? ? 0
50 1 2 120 168 0 0 160 0 0 ? 0 ? 0
50 1 2 140 216 0 0 170 0 0 ? ? 3 0
50 1 2 170 209 0 1 116 0 0 ? ? ? 0
50 1 4 140 129 0 0 135 0 0 ? ? ? 0
50 1 4 150 215 0 0 140 1 0 ? ? ? 0
51 0 2 160 194 0 0 170 0 0 ? ? ? 0
51 0 3 110 190 0 0 120 0 0 ? ? ? 0
51 0 3 130 220 0 0 160 1 2 1 ? ? 0
51 0 3 150 200 0 0 120 0 0.5 1 ? ? 0
51 1 2 125 188 0 0 145 0 0 ? ? ? 0
51 1 2 130 224 0 0 150 0 0 ? ? ? 0
51 1 4 130 179 0 0 100 0 0 ? ? 7 0
52 0 2 120 210 0 0 148 0 0 ? ? ? 0
52 0 2 140 ? 0 0 140 0 0 ? ? ? 0
52 0 3 125 272 0 0 139 0 0 ? ? ? 0
52 0 4 130 180 0 0 140 1 1.5 2 ? ? 0
52 1 2 120 284 0 0 118 0 0 ? ? ? 0
52 1 2 140 100 0 0 138 1 0 ? ? ? 0
52 1 2 160 196 0 0 165 0 0 ? ? ? 0
52 1 3 140 259 0 1 170 0 0 ? ? ? 0
53 0 2 113 468 ? 0 127 0 0 ? ? ? 0
53 0 2 140 216 0 0 142 1 2 2 ? ? 0
53 0 3 120 274 0 0 130 0 0 ? ? ? 0
53 1 2 120 ? 0 0 132 0 0 ? ? ? 0
53 1 2 140 320 0 0 162 0 0 ? ? ? 0
53 1 3 120 195 0 0 140 0 0 ? ? ? 0
53 1 4 124 260 0 1 112 1 3 2 ? ? 0
53 1 4 130 182 0 0 148 0 0 ? ? ? 0
53 1 4 140 243 0 0 155 0 0 ? ? ? 0
54 0 2 120 221 0 0 138 0 1 1 ? ? 0
54 0 2 120 230 1 0 140 0 0 ? ? ? 0
54 0 2 120 273 0 0 150 0 1.5 2 ? ? 0
54 0 2 130 253 0 1 155 0 0 ? ? ? 0
54 0 2 140 309 ? 1 140 0 0 ? ? ? 0
54 0 2 150 230 0 0 130 0 0 ? ? ? 0
54 0 2 160 312 0 0 130 0 0 ? ? ? 0
54 1 1 120 171 0 0 137 0 2 1 ? ? 0
54 1 2 110 208 0 0 142 0 0 ? ? ? 0
54 1 2 120 238 0 0 154 0 0 ? ? ? 0
54 1 2 120 246 0 0 110 0 0 ? ? ? 0
54 1 2 160 195 0 1 130 0 1 1 ? ? 0
54 1 2 160 305 0 0 175 0 0 ? ? ? 0
54 1 3 120 217 0 0 137 0 0 ? ? ? 0
54 1 3 150 ? 0 0 122 0 0 ? ? ? 0
54 1 4 150 365 0 1 134 0 1 1 ? ? 0
55 0 2 110 344 0 1 160 0 0 ? ? ? 0
55 0 2 122 320 0 0 155 0 0 ? ? ? 0
55 0 2 130 394 0 2 150 0 0 ? ? ? 0
55 1 2 120 256 1 0 137 0 0 ? ? 7 0
55 1 2 140 196 0 0 150 0 0 ? ? 7 0
55 1 2 145 326 0 0 155 0 0 ? ? ? 0
55 1 3 110 277 0 0 160 0 0 ? ? ? 0
55 1 3 120 220 0 2 134 0 0 ? ? ? 0
55 1 4 120 270 0 0 140 0 0 ? ? ? 0
55 1 4 140 229 0 0 110 1 0.5 2 ? ? 0
56 0 3 130 219 ? 1 164 0 0 ? ? 7 0
56 1 2 130 184 0 0 100 0 0 ? ? ? 0
56 1 3 130 ? 0 0 114 0 0 ? ? ? 0
56 1 3 130 276 0 0 128 1 1 1 ? 6 0
56 1 4 120 85 0 0 140 0 0 ? ? ? 0
57 0 1 130 308 0 0 98 0 1 2 ? ? 0
57 0 4 180 347 0 1 126 1 0.8 2 ? ? 0
57 1 2 140 260 1 0 140 0 0 ? ? 6 0
58 1 2 130 230 0 0 150 0 0 ? ? ? 0
58 1 2 130 251 0 0 110 0 0 ? ? ? 0
58 1 3 140 179 0 0 160 0 0 ? ? ? 0
58 1 4 135 222 0 0 100 0 0 ? ? ? 0
59 0 2 130 188 0 0 124 0 1 2 ? ? 0
59 1 2 140 287 0 0 150 0 0 ? ? ? 0
59 1 3 130 318 0 0 120 1 1 2 ? 3 0
59 1 3 180 213 0 0 100 0 0 ? ? ? 0
59 1 4 140 ? 0 0 140 0 0 ? 0 ? 0
60 1 3 120 246 0 2 135 0 0 ? ? ? 0
61 0 4 130 294 0 1 120 1 1 2 ? ? 0
61 1 4 125 292 0 1 115 1 0 ? ? ? 0
62 0 1 160 193 0 0 116 0 0 ? ? ? 0
62 1 2 140 271 0 0 152 0 1 1 ? ? 0
31 1 4 120 270 0 0 153 1 1.5 2 ? ? 1
33 0 4 100 246 0 0 150 1 1 2 ? ? 1
34 1 1 140 156 0 0 180 0 0 ? ? ? 1
35 1 2 110 257 0 0 140 0 0 ? ? ? 1
36 1 2 120 267 0 0 160 0 3 2 ? ? 1
37 1 4 140 207 0 0 130 1 1.5 2 ? ? 1
38 1 4 110 196 0 0 166 0 0 ? ? ? 1
38 1 4 120 282 0 0 170 0 0 ? ? ? 1
38 1 4 92 117 0 0 134 1 2.5 2 ? ? 1
40 1 4 120 466 ? 0 152 1 1 2 ? 6 1
41 1 4 110 289 0 0 170 0 0 ? ? 6 1
41 1 4 120 237 ? 0 138 1 1 2 ? ? 1
43 1 4 150 247 0 0 130 1 2 2 ? ? 1
46 1 4 110 202 0 0 150 1 0 ? ? ? 1
46 1 4 118 186 0 0 124 0 0 ? ? 7 1
46 1 4 120 277 0 0 125 1 1 2 ? ? 1
47 1 3 140 193 0 0 145 1 1 2 ? ? 1
47 1 4 150 226 0 0 98 1 1.5 2 0 7 1
48 1 4 106 263 1 0 110 0 0 ? ? ? 1
48 1 4 120 260 0 0 115 0 2 2 ? ? 1
48 1 4 160 268 0 0 103 1 1 2 ? ? 1
49 0 3 160 180 0 0 156 0 1 2 ? ? 1
49 1 3 115 265 0 0 175 0 0 ? ? ? 1
49 1 4 130 206 0 0 170 0 0 ? ? ? 1
50 0 3 140 288 0 0 140 1 0 ? ? 7 1
50 1 4 145 264 0 0 150 0 0 ? ? ? 1
51 0 4 160 303 0 0 150 1 1 2 ? ? 1
52 1 4 130 225 0 0 120 1 2 2 ? ? 1
54 1 4 125 216 0 0 140 0 0 ? ? ? 1
54 1 4 125 224 0 0 122 0 2 2 ? ? 1
55 1 4 140 201 0 0 130 1 3 2 ? ? 1
57 1 2 140 265 0 1 145 1 1 2 ? ? 1
58 1 3 130 213 0 1 140 0 0 ? ? 6 1
59 0 4 130 338 1 1 130 1 1.5 2 ? ? 1
60 1 4 100 248 0 0 125 0 1 2 ? ? 1
63 1 4 150 223 0 0 115 0 0 ? ? ? 1
65 1 4 140 306 1 0 87 1 1.5 2 ? ? 1
32 1 4 118 529 0 0 130 0 0 ? ? ? 1
38 1 4 110 ? 0 0 150 1 1 2 ? ? 1
39 1 4 110 280 0 0 150 0 0 ? ? 6 1
40 0 4 150 392 0 0 130 0 2 2 ? 6 1
43 1 1 120 291 0 1 155 0 0 ? ? ? 1
45 1 4 130 219 0 1 130 1 1 2 ? ? 1
46 1 4 120 231 0 0 115 1 0 ? ? ? 1
46 1 4 130 222 0 0 112 0 0 ? ? ? 1
48 1 4 122 275 1 1 150 1 2 3 ? ? 1
48 1 4 160 193 0 0 102 1 3 2 ? ? 1
48 1 4 160 329 0 0 92 1 1.5 2 ? ? 1
48 1 4 160 355 0 0 99 1 2 2 ? ? 1
50 1 4 130 233 0 0 121 1 2 2 ? 7 1
52 1 4 120 182 0 0 150 0 0 ? ? ? 1
52 1 4 170 ? 0 0 126 1 1.5 2 ? ? 1
53 1 4 120 246 0 0 116 1 0 ? ? ? 1
54 1 3 120 237 0 0 150 1 1.5 ? ? 7 1
54 1 4 130 242 0 0 91 1 1 2 ? ? 1
54 1 4 130 603 1 0 125 1 1 2 ? ? 1
54 1 4 140 ? 0 0 118 1 0 ? ? ? 1
54 1 4 200 198 0 0 142 1 2 2 ? ? 1
55 1 4 140 268 0 0 128 1 1.5 2 ? ? 1
56 1 4 150 213 1 0 125 1 1 2 ? ? 1
57 1 4 150 255 0 0 92 1 3 2 ? ? 1
58 1 3 160 211 1 1 92 0 0 ? ? ? 1
58 1 4 130 263 0 0 140 1 2 2 ? ? 1
41 1 4 130 172 0 1 130 0 2 2 ? ? 1
43 1 4 120 175 0 0 120 1 1 2 ? 7 1
44 1 2 150 288 0 0 150 1 3 2 ? ? 1
44 1 4 130 290 0 0 100 1 2 2 ? ? 1
46 1 1 140 272 1 0 175 0 2 2 ? ? 1
47 0 3 135 248 1 0 170 0 0 ? ? ? 1
48 0 4 138 214 0 0 108 1 1.5 2 ? ? 1
49 1 4 130 341 0 0 120 1 1 2 ? ? 1
49 1 4 140 234 0 0 140 1 1 2 ? ? 1
51 1 3 135 160 0 0 150 0 2 2 ? ? 1
52 1 4 112 342 0 1 96 1 1 2 ? ? 1
52 1 4 130 298 0 0 110 1 1 2 ? ? 1
52 1 4 140 404 0 0 124 1 2 2 ? ? 1
52 1 4 160 246 0 1 82 1 4 2 ? ? 1
53 1 3 145 518 0 0 130 0 0 ? ? ? 1
53 1 4 180 285 0 1 120 1 1.5 2 ? ? 1
54 1 4 140 216 0 0 105 0 1.5 2 ? ? 1
55 1 1 140 295 0 ? 136 0 0 ? ? ? 1
55 1 2 160 292 1 0 143 1 2 2 ? ? 1
55 1 4 145 248 0 0 96 1 2 2 ? ? 1
56 0 2 120 279 0 0 150 0 1 2 ? ? 1
56 1 4 150 230 0 1 124 1 1.5 2 ? ? 1
56 1 4 170 388 0 1 122 1 2 2 ? ? 1
58 1 2 136 164 0 1 99 1 2 2 ? ? 1
59 1 4 130 ? 0 0 125 0 0 ? ? ? 1
59 1 4 140 264 1 2 119 1 0 ? ? ? 1
65 1 4 170 263 1 0 112 1 2 2 ? ? 1
66 1 4 140 ? 0 0 94 1 1 2 ? ? 1
41 1 4 120 336 0 0 118 1 3 2 ? ? 1
43 1 4 140 288 0 0 135 1 2 2 ? ? 1
44 1 4 135 491 0 0 135 0 0 ? ? ? 1
47 0 4 120 205 0 0 98 1 2 2 ? 6 1
47 1 4 160 291 0 1 158 1 3 2 ? ? 1
49 1 4 128 212 0 0 96 1 0 ? ? ? 1
49 1 4 150 222 0 0 122 0 2 2 ? ? 1
50 1 4 140 231 0 1 140 1 5 2 ? ? 1
50 1 4 140 341 0 1 125 1 2.5 2 ? ? 1
52 1 4 140 266 0 0 134 1 2 2 ? ? 1
52 1 4 160 331 0 0 94 1 2.5 ? ? ? 1
54 0 3 130 294 0 1 100 1 0 2 ? ? 1
56 1 4 155 342 1 0 150 1 3 2 ? ? 1
58 0 2 180 393 0 0 110 1 1 2 ? 7 1
65 1 4 130 275 0 1 115 1 1 2 ? ? 1