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Implement predict and predict_proba

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Add samples and add parameters to main
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Ricardo Montañana Gómez
2023-07-01 14:45:44 +02:00
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data/diabetes.arff Executable file
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% 1. Title: Pima Indians Diabetes Database
%
% 2. Sources:
% (a) Original owners: National Institute of Diabetes and Digestive and
% Kidney Diseases
% (b) Donor of database: Vincent Sigillito (vgs@aplcen.apl.jhu.edu)
% Research Center, RMI Group Leader
% Applied Physics Laboratory
% The Johns Hopkins University
% Johns Hopkins Road
% Laurel, MD 20707
% (301) 953-6231
% (c) Date received: 9 May 1990
%
% 3. Past Usage:
% 1. Smith,~J.~W., Everhart,~J.~E., Dickson,~W.~C., Knowler,~W.~C., \&
% Johannes,~R.~S. (1988). Using the ADAP learning algorithm to forecast
% the onset of diabetes mellitus. In {\it Proceedings of the Symposium
% on Computer Applications and Medical Care} (pp. 261--265). IEEE
% Computer Society Press.
%
% The diagnostic, binary-valued variable investigated is whether the
% patient shows signs of diabetes according to World Health Organization
% criteria (i.e., if the 2 hour post-load plasma glucose was at least
% 200 mg/dl at any survey examination or if found during routine medical
% care). The population lives near Phoenix, Arizona, USA.
%
% Results: Their ADAP algorithm makes a real-valued prediction between
% 0 and 1. This was transformed into a binary decision using a cutoff of
% 0.448. Using 576 training instances, the sensitivity and specificity
% of their algorithm was 76% on the remaining 192 instances.
%
% 4. Relevant Information:
% Several constraints were placed on the selection of these instances from
% a larger database. In particular, all patients here are females at
% least 21 years old of Pima Indian heritage. ADAP is an adaptive learning
% routine that generates and executes digital analogs of perceptron-like
% devices. It is a unique algorithm; see the paper for details.
%
% 5. Number of Instances: 768
%
% 6. Number of Attributes: 8 plus class
%
% 7. For Each Attribute: (all numeric-valued)
% 1. Number of times pregnant
% 2. Plasma glucose concentration a 2 hours in an oral glucose tolerance test
% 3. Diastolic blood pressure (mm Hg)
% 4. Triceps skin fold thickness (mm)
% 5. 2-Hour serum insulin (mu U/ml)
% 6. Body mass index (weight in kg/(height in m)^2)
% 7. Diabetes pedigree function
% 8. Age (years)
% 9. Class variable (0 or 1)
%
% 8. Missing Attribute Values: None
%
% 9. Class Distribution: (class value 1 is interpreted as "tested positive for
% diabetes")
%
% Class Value Number of instances
% 0 500
% 1 268
%
% 10. Brief statistical analysis:
%
% Attribute number: Mean: Standard Deviation:
% 1. 3.8 3.4
% 2. 120.9 32.0
% 3. 69.1 19.4
% 4. 20.5 16.0
% 5. 79.8 115.2
% 6. 32.0 7.9
% 7. 0.5 0.3
% 8. 33.2 11.8
%
%
%
%
%
%
% Relabeled values in attribute 'class'
% From: 0 To: tested_negative
% From: 1 To: tested_positive
%
@relation pima_diabetes
@attribute 'preg' real
@attribute 'plas' real
@attribute 'pres' real
@attribute 'skin' real
@attribute 'insu' real
@attribute 'mass' real
@attribute 'pedi' real
@attribute 'age' real
@attribute 'class' { tested_negative, tested_positive}
@data
6,148,72,35,0,33.6,0.627,50,tested_positive
1,85,66,29,0,26.6,0.351,31,tested_negative
8,183,64,0,0,23.3,0.672,32,tested_positive
1,89,66,23,94,28.1,0.167,21,tested_negative
0,137,40,35,168,43.1,2.288,33,tested_positive
5,116,74,0,0,25.6,0.201,30,tested_negative
3,78,50,32,88,31,0.248,26,tested_positive
10,115,0,0,0,35.3,0.134,29,tested_negative
2,197,70,45,543,30.5,0.158,53,tested_positive
8,125,96,0,0,0,0.232,54,tested_positive
4,110,92,0,0,37.6,0.191,30,tested_negative
10,168,74,0,0,38,0.537,34,tested_positive
10,139,80,0,0,27.1,1.441,57,tested_negative
1,189,60,23,846,30.1,0.398,59,tested_positive
5,166,72,19,175,25.8,0.587,51,tested_positive
7,100,0,0,0,30,0.484,32,tested_positive
0,118,84,47,230,45.8,0.551,31,tested_positive
7,107,74,0,0,29.6,0.254,31,tested_positive
1,103,30,38,83,43.3,0.183,33,tested_negative
1,115,70,30,96,34.6,0.529,32,tested_positive
3,126,88,41,235,39.3,0.704,27,tested_negative
8,99,84,0,0,35.4,0.388,50,tested_negative
7,196,90,0,0,39.8,0.451,41,tested_positive
9,119,80,35,0,29,0.263,29,tested_positive
11,143,94,33,146,36.6,0.254,51,tested_positive
10,125,70,26,115,31.1,0.205,41,tested_positive
7,147,76,0,0,39.4,0.257,43,tested_positive
1,97,66,15,140,23.2,0.487,22,tested_negative
13,145,82,19,110,22.2,0.245,57,tested_negative
5,117,92,0,0,34.1,0.337,38,tested_negative
5,109,75,26,0,36,0.546,60,tested_negative
3,158,76,36,245,31.6,0.851,28,tested_positive
3,88,58,11,54,24.8,0.267,22,tested_negative
6,92,92,0,0,19.9,0.188,28,tested_negative
10,122,78,31,0,27.6,0.512,45,tested_negative
4,103,60,33,192,24,0.966,33,tested_negative
11,138,76,0,0,33.2,0.42,35,tested_negative
9,102,76,37,0,32.9,0.665,46,tested_positive
2,90,68,42,0,38.2,0.503,27,tested_positive
4,111,72,47,207,37.1,1.39,56,tested_positive
3,180,64,25,70,34,0.271,26,tested_negative
7,133,84,0,0,40.2,0.696,37,tested_negative
7,106,92,18,0,22.7,0.235,48,tested_negative
9,171,110,24,240,45.4,0.721,54,tested_positive
7,159,64,0,0,27.4,0.294,40,tested_negative
0,180,66,39,0,42,1.893,25,tested_positive
1,146,56,0,0,29.7,0.564,29,tested_negative
2,71,70,27,0,28,0.586,22,tested_negative
7,103,66,32,0,39.1,0.344,31,tested_positive
7,105,0,0,0,0,0.305,24,tested_negative
1,103,80,11,82,19.4,0.491,22,tested_negative
1,101,50,15,36,24.2,0.526,26,tested_negative
5,88,66,21,23,24.4,0.342,30,tested_negative
8,176,90,34,300,33.7,0.467,58,tested_positive
7,150,66,42,342,34.7,0.718,42,tested_negative
1,73,50,10,0,23,0.248,21,tested_negative
7,187,68,39,304,37.7,0.254,41,tested_positive
0,100,88,60,110,46.8,0.962,31,tested_negative
0,146,82,0,0,40.5,1.781,44,tested_negative
0,105,64,41,142,41.5,0.173,22,tested_negative
2,84,0,0,0,0,0.304,21,tested_negative
8,133,72,0,0,32.9,0.27,39,tested_positive
5,44,62,0,0,25,0.587,36,tested_negative
2,141,58,34,128,25.4,0.699,24,tested_negative
7,114,66,0,0,32.8,0.258,42,tested_positive
5,99,74,27,0,29,0.203,32,tested_negative
0,109,88,30,0,32.5,0.855,38,tested_positive
2,109,92,0,0,42.7,0.845,54,tested_negative
1,95,66,13,38,19.6,0.334,25,tested_negative
4,146,85,27,100,28.9,0.189,27,tested_negative
2,100,66,20,90,32.9,0.867,28,tested_positive
5,139,64,35,140,28.6,0.411,26,tested_negative
13,126,90,0,0,43.4,0.583,42,tested_positive
4,129,86,20,270,35.1,0.231,23,tested_negative
1,79,75,30,0,32,0.396,22,tested_negative
1,0,48,20,0,24.7,0.14,22,tested_negative
7,62,78,0,0,32.6,0.391,41,tested_negative
5,95,72,33,0,37.7,0.37,27,tested_negative
0,131,0,0,0,43.2,0.27,26,tested_positive
2,112,66,22,0,25,0.307,24,tested_negative
3,113,44,13,0,22.4,0.14,22,tested_negative
2,74,0,0,0,0,0.102,22,tested_negative
7,83,78,26,71,29.3,0.767,36,tested_negative
0,101,65,28,0,24.6,0.237,22,tested_negative
5,137,108,0,0,48.8,0.227,37,tested_positive
2,110,74,29,125,32.4,0.698,27,tested_negative
13,106,72,54,0,36.6,0.178,45,tested_negative
2,100,68,25,71,38.5,0.324,26,tested_negative
15,136,70,32,110,37.1,0.153,43,tested_positive
1,107,68,19,0,26.5,0.165,24,tested_negative
1,80,55,0,0,19.1,0.258,21,tested_negative
4,123,80,15,176,32,0.443,34,tested_negative
7,81,78,40,48,46.7,0.261,42,tested_negative
4,134,72,0,0,23.8,0.277,60,tested_positive
2,142,82,18,64,24.7,0.761,21,tested_negative
6,144,72,27,228,33.9,0.255,40,tested_negative
2,92,62,28,0,31.6,0.13,24,tested_negative
1,71,48,18,76,20.4,0.323,22,tested_negative
6,93,50,30,64,28.7,0.356,23,tested_negative
1,122,90,51,220,49.7,0.325,31,tested_positive
1,163,72,0,0,39,1.222,33,tested_positive
1,151,60,0,0,26.1,0.179,22,tested_negative
0,125,96,0,0,22.5,0.262,21,tested_negative
1,81,72,18,40,26.6,0.283,24,tested_negative
2,85,65,0,0,39.6,0.93,27,tested_negative
1,126,56,29,152,28.7,0.801,21,tested_negative
1,96,122,0,0,22.4,0.207,27,tested_negative
4,144,58,28,140,29.5,0.287,37,tested_negative
3,83,58,31,18,34.3,0.336,25,tested_negative
0,95,85,25,36,37.4,0.247,24,tested_positive
3,171,72,33,135,33.3,0.199,24,tested_positive
8,155,62,26,495,34,0.543,46,tested_positive
1,89,76,34,37,31.2,0.192,23,tested_negative
4,76,62,0,0,34,0.391,25,tested_negative
7,160,54,32,175,30.5,0.588,39,tested_positive
4,146,92,0,0,31.2,0.539,61,tested_positive
5,124,74,0,0,34,0.22,38,tested_positive
5,78,48,0,0,33.7,0.654,25,tested_negative
4,97,60,23,0,28.2,0.443,22,tested_negative
4,99,76,15,51,23.2,0.223,21,tested_negative
0,162,76,56,100,53.2,0.759,25,tested_positive
6,111,64,39,0,34.2,0.26,24,tested_negative
2,107,74,30,100,33.6,0.404,23,tested_negative
5,132,80,0,0,26.8,0.186,69,tested_negative
0,113,76,0,0,33.3,0.278,23,tested_positive
1,88,30,42,99,55,0.496,26,tested_positive
3,120,70,30,135,42.9,0.452,30,tested_negative
1,118,58,36,94,33.3,0.261,23,tested_negative
1,117,88,24,145,34.5,0.403,40,tested_positive
0,105,84,0,0,27.9,0.741,62,tested_positive
4,173,70,14,168,29.7,0.361,33,tested_positive
9,122,56,0,0,33.3,1.114,33,tested_positive
3,170,64,37,225,34.5,0.356,30,tested_positive
8,84,74,31,0,38.3,0.457,39,tested_negative
2,96,68,13,49,21.1,0.647,26,tested_negative
2,125,60,20,140,33.8,0.088,31,tested_negative
0,100,70,26,50,30.8,0.597,21,tested_negative
0,93,60,25,92,28.7,0.532,22,tested_negative
0,129,80,0,0,31.2,0.703,29,tested_negative
5,105,72,29,325,36.9,0.159,28,tested_negative
3,128,78,0,0,21.1,0.268,55,tested_negative
5,106,82,30,0,39.5,0.286,38,tested_negative
2,108,52,26,63,32.5,0.318,22,tested_negative
10,108,66,0,0,32.4,0.272,42,tested_positive
4,154,62,31,284,32.8,0.237,23,tested_negative
0,102,75,23,0,0,0.572,21,tested_negative
9,57,80,37,0,32.8,0.096,41,tested_negative
2,106,64,35,119,30.5,1.4,34,tested_negative
5,147,78,0,0,33.7,0.218,65,tested_negative
2,90,70,17,0,27.3,0.085,22,tested_negative
1,136,74,50,204,37.4,0.399,24,tested_negative
4,114,65,0,0,21.9,0.432,37,tested_negative
9,156,86,28,155,34.3,1.189,42,tested_positive
1,153,82,42,485,40.6,0.687,23,tested_negative
8,188,78,0,0,47.9,0.137,43,tested_positive
7,152,88,44,0,50,0.337,36,tested_positive
2,99,52,15,94,24.6,0.637,21,tested_negative
1,109,56,21,135,25.2,0.833,23,tested_negative
2,88,74,19,53,29,0.229,22,tested_negative
17,163,72,41,114,40.9,0.817,47,tested_positive
4,151,90,38,0,29.7,0.294,36,tested_negative
7,102,74,40,105,37.2,0.204,45,tested_negative
0,114,80,34,285,44.2,0.167,27,tested_negative
2,100,64,23,0,29.7,0.368,21,tested_negative
0,131,88,0,0,31.6,0.743,32,tested_positive
6,104,74,18,156,29.9,0.722,41,tested_positive
3,148,66,25,0,32.5,0.256,22,tested_negative
4,120,68,0,0,29.6,0.709,34,tested_negative
4,110,66,0,0,31.9,0.471,29,tested_negative
3,111,90,12,78,28.4,0.495,29,tested_negative
6,102,82,0,0,30.8,0.18,36,tested_positive
6,134,70,23,130,35.4,0.542,29,tested_positive
2,87,0,23,0,28.9,0.773,25,tested_negative
1,79,60,42,48,43.5,0.678,23,tested_negative
2,75,64,24,55,29.7,0.37,33,tested_negative
8,179,72,42,130,32.7,0.719,36,tested_positive
6,85,78,0,0,31.2,0.382,42,tested_negative
0,129,110,46,130,67.1,0.319,26,tested_positive
5,143,78,0,0,45,0.19,47,tested_negative
5,130,82,0,0,39.1,0.956,37,tested_positive
6,87,80,0,0,23.2,0.084,32,tested_negative
0,119,64,18,92,34.9,0.725,23,tested_negative
1,0,74,20,23,27.7,0.299,21,tested_negative
5,73,60,0,0,26.8,0.268,27,tested_negative
4,141,74,0,0,27.6,0.244,40,tested_negative
7,194,68,28,0,35.9,0.745,41,tested_positive
8,181,68,36,495,30.1,0.615,60,tested_positive
1,128,98,41,58,32,1.321,33,tested_positive
8,109,76,39,114,27.9,0.64,31,tested_positive
5,139,80,35,160,31.6,0.361,25,tested_positive
3,111,62,0,0,22.6,0.142,21,tested_negative
9,123,70,44,94,33.1,0.374,40,tested_negative
7,159,66,0,0,30.4,0.383,36,tested_positive
11,135,0,0,0,52.3,0.578,40,tested_positive
8,85,55,20,0,24.4,0.136,42,tested_negative
5,158,84,41,210,39.4,0.395,29,tested_positive
1,105,58,0,0,24.3,0.187,21,tested_negative
3,107,62,13,48,22.9,0.678,23,tested_positive
4,109,64,44,99,34.8,0.905,26,tested_positive
4,148,60,27,318,30.9,0.15,29,tested_positive
0,113,80,16,0,31,0.874,21,tested_negative
1,138,82,0,0,40.1,0.236,28,tested_negative
0,108,68,20,0,27.3,0.787,32,tested_negative
2,99,70,16,44,20.4,0.235,27,tested_negative
6,103,72,32,190,37.7,0.324,55,tested_negative
5,111,72,28,0,23.9,0.407,27,tested_negative
8,196,76,29,280,37.5,0.605,57,tested_positive
5,162,104,0,0,37.7,0.151,52,tested_positive
1,96,64,27,87,33.2,0.289,21,tested_negative
7,184,84,33,0,35.5,0.355,41,tested_positive
2,81,60,22,0,27.7,0.29,25,tested_negative
0,147,85,54,0,42.8,0.375,24,tested_negative
7,179,95,31,0,34.2,0.164,60,tested_negative
0,140,65,26,130,42.6,0.431,24,tested_positive
9,112,82,32,175,34.2,0.26,36,tested_positive
12,151,70,40,271,41.8,0.742,38,tested_positive
5,109,62,41,129,35.8,0.514,25,tested_positive
6,125,68,30,120,30,0.464,32,tested_negative
5,85,74,22,0,29,1.224,32,tested_positive
5,112,66,0,0,37.8,0.261,41,tested_positive
0,177,60,29,478,34.6,1.072,21,tested_positive
2,158,90,0,0,31.6,0.805,66,tested_positive
7,119,0,0,0,25.2,0.209,37,tested_negative
7,142,60,33,190,28.8,0.687,61,tested_negative
1,100,66,15,56,23.6,0.666,26,tested_negative
1,87,78,27,32,34.6,0.101,22,tested_negative
0,101,76,0,0,35.7,0.198,26,tested_negative
3,162,52,38,0,37.2,0.652,24,tested_positive
4,197,70,39,744,36.7,2.329,31,tested_negative
0,117,80,31,53,45.2,0.089,24,tested_negative
4,142,86,0,0,44,0.645,22,tested_positive
6,134,80,37,370,46.2,0.238,46,tested_positive
1,79,80,25,37,25.4,0.583,22,tested_negative
4,122,68,0,0,35,0.394,29,tested_negative
3,74,68,28,45,29.7,0.293,23,tested_negative
4,171,72,0,0,43.6,0.479,26,tested_positive
7,181,84,21,192,35.9,0.586,51,tested_positive
0,179,90,27,0,44.1,0.686,23,tested_positive
9,164,84,21,0,30.8,0.831,32,tested_positive
0,104,76,0,0,18.4,0.582,27,tested_negative
1,91,64,24,0,29.2,0.192,21,tested_negative
4,91,70,32,88,33.1,0.446,22,tested_negative
3,139,54,0,0,25.6,0.402,22,tested_positive
6,119,50,22,176,27.1,1.318,33,tested_positive
2,146,76,35,194,38.2,0.329,29,tested_negative
9,184,85,15,0,30,1.213,49,tested_positive
10,122,68,0,0,31.2,0.258,41,tested_negative
0,165,90,33,680,52.3,0.427,23,tested_negative
9,124,70,33,402,35.4,0.282,34,tested_negative
1,111,86,19,0,30.1,0.143,23,tested_negative
9,106,52,0,0,31.2,0.38,42,tested_negative
2,129,84,0,0,28,0.284,27,tested_negative
2,90,80,14,55,24.4,0.249,24,tested_negative
0,86,68,32,0,35.8,0.238,25,tested_negative
12,92,62,7,258,27.6,0.926,44,tested_positive
1,113,64,35,0,33.6,0.543,21,tested_positive
3,111,56,39,0,30.1,0.557,30,tested_negative
2,114,68,22,0,28.7,0.092,25,tested_negative
1,193,50,16,375,25.9,0.655,24,tested_negative
11,155,76,28,150,33.3,1.353,51,tested_positive
3,191,68,15,130,30.9,0.299,34,tested_negative
3,141,0,0,0,30,0.761,27,tested_positive
4,95,70,32,0,32.1,0.612,24,tested_negative
3,142,80,15,0,32.4,0.2,63,tested_negative
4,123,62,0,0,32,0.226,35,tested_positive
5,96,74,18,67,33.6,0.997,43,tested_negative
0,138,0,0,0,36.3,0.933,25,tested_positive
2,128,64,42,0,40,1.101,24,tested_negative
0,102,52,0,0,25.1,0.078,21,tested_negative
2,146,0,0,0,27.5,0.24,28,tested_positive
10,101,86,37,0,45.6,1.136,38,tested_positive
2,108,62,32,56,25.2,0.128,21,tested_negative
3,122,78,0,0,23,0.254,40,tested_negative
1,71,78,50,45,33.2,0.422,21,tested_negative
13,106,70,0,0,34.2,0.251,52,tested_negative
2,100,70,52,57,40.5,0.677,25,tested_negative
7,106,60,24,0,26.5,0.296,29,tested_positive
0,104,64,23,116,27.8,0.454,23,tested_negative
5,114,74,0,0,24.9,0.744,57,tested_negative
2,108,62,10,278,25.3,0.881,22,tested_negative
0,146,70,0,0,37.9,0.334,28,tested_positive
10,129,76,28,122,35.9,0.28,39,tested_negative
7,133,88,15,155,32.4,0.262,37,tested_negative
7,161,86,0,0,30.4,0.165,47,tested_positive
2,108,80,0,0,27,0.259,52,tested_positive
7,136,74,26,135,26,0.647,51,tested_negative
5,155,84,44,545,38.7,0.619,34,tested_negative
1,119,86,39,220,45.6,0.808,29,tested_positive
4,96,56,17,49,20.8,0.34,26,tested_negative
5,108,72,43,75,36.1,0.263,33,tested_negative
0,78,88,29,40,36.9,0.434,21,tested_negative
0,107,62,30,74,36.6,0.757,25,tested_positive
2,128,78,37,182,43.3,1.224,31,tested_positive
1,128,48,45,194,40.5,0.613,24,tested_positive
0,161,50,0,0,21.9,0.254,65,tested_negative
6,151,62,31,120,35.5,0.692,28,tested_negative
2,146,70,38,360,28,0.337,29,tested_positive
0,126,84,29,215,30.7,0.52,24,tested_negative
14,100,78,25,184,36.6,0.412,46,tested_positive
8,112,72,0,0,23.6,0.84,58,tested_negative
0,167,0,0,0,32.3,0.839,30,tested_positive
2,144,58,33,135,31.6,0.422,25,tested_positive
5,77,82,41,42,35.8,0.156,35,tested_negative
5,115,98,0,0,52.9,0.209,28,tested_positive
3,150,76,0,0,21,0.207,37,tested_negative
2,120,76,37,105,39.7,0.215,29,tested_negative
10,161,68,23,132,25.5,0.326,47,tested_positive
0,137,68,14,148,24.8,0.143,21,tested_negative
0,128,68,19,180,30.5,1.391,25,tested_positive
2,124,68,28,205,32.9,0.875,30,tested_positive
6,80,66,30,0,26.2,0.313,41,tested_negative
0,106,70,37,148,39.4,0.605,22,tested_negative
2,155,74,17,96,26.6,0.433,27,tested_positive
3,113,50,10,85,29.5,0.626,25,tested_negative
7,109,80,31,0,35.9,1.127,43,tested_positive
2,112,68,22,94,34.1,0.315,26,tested_negative
3,99,80,11,64,19.3,0.284,30,tested_negative
3,182,74,0,0,30.5,0.345,29,tested_positive
3,115,66,39,140,38.1,0.15,28,tested_negative
6,194,78,0,0,23.5,0.129,59,tested_positive
4,129,60,12,231,27.5,0.527,31,tested_negative
3,112,74,30,0,31.6,0.197,25,tested_positive
0,124,70,20,0,27.4,0.254,36,tested_positive
13,152,90,33,29,26.8,0.731,43,tested_positive
2,112,75,32,0,35.7,0.148,21,tested_negative
1,157,72,21,168,25.6,0.123,24,tested_negative
1,122,64,32,156,35.1,0.692,30,tested_positive
10,179,70,0,0,35.1,0.2,37,tested_negative
2,102,86,36,120,45.5,0.127,23,tested_positive
6,105,70,32,68,30.8,0.122,37,tested_negative
8,118,72,19,0,23.1,1.476,46,tested_negative
2,87,58,16,52,32.7,0.166,25,tested_negative
1,180,0,0,0,43.3,0.282,41,tested_positive
12,106,80,0,0,23.6,0.137,44,tested_negative
1,95,60,18,58,23.9,0.26,22,tested_negative
0,165,76,43,255,47.9,0.259,26,tested_negative
0,117,0,0,0,33.8,0.932,44,tested_negative
5,115,76,0,0,31.2,0.343,44,tested_positive
9,152,78,34,171,34.2,0.893,33,tested_positive
7,178,84,0,0,39.9,0.331,41,tested_positive
1,130,70,13,105,25.9,0.472,22,tested_negative
1,95,74,21,73,25.9,0.673,36,tested_negative
1,0,68,35,0,32,0.389,22,tested_negative
5,122,86,0,0,34.7,0.29,33,tested_negative
8,95,72,0,0,36.8,0.485,57,tested_negative
8,126,88,36,108,38.5,0.349,49,tested_negative
1,139,46,19,83,28.7,0.654,22,tested_negative
3,116,0,0,0,23.5,0.187,23,tested_negative
3,99,62,19,74,21.8,0.279,26,tested_negative
5,0,80,32,0,41,0.346,37,tested_positive
4,92,80,0,0,42.2,0.237,29,tested_negative
4,137,84,0,0,31.2,0.252,30,tested_negative
3,61,82,28,0,34.4,0.243,46,tested_negative
1,90,62,12,43,27.2,0.58,24,tested_negative
3,90,78,0,0,42.7,0.559,21,tested_negative
9,165,88,0,0,30.4,0.302,49,tested_positive
1,125,50,40,167,33.3,0.962,28,tested_positive
13,129,0,30,0,39.9,0.569,44,tested_positive
12,88,74,40,54,35.3,0.378,48,tested_negative
1,196,76,36,249,36.5,0.875,29,tested_positive
5,189,64,33,325,31.2,0.583,29,tested_positive
5,158,70,0,0,29.8,0.207,63,tested_negative
5,103,108,37,0,39.2,0.305,65,tested_negative
4,146,78,0,0,38.5,0.52,67,tested_positive
4,147,74,25,293,34.9,0.385,30,tested_negative
5,99,54,28,83,34,0.499,30,tested_negative
6,124,72,0,0,27.6,0.368,29,tested_positive
0,101,64,17,0,21,0.252,21,tested_negative
3,81,86,16,66,27.5,0.306,22,tested_negative
1,133,102,28,140,32.8,0.234,45,tested_positive
3,173,82,48,465,38.4,2.137,25,tested_positive
0,118,64,23,89,0,1.731,21,tested_negative
0,84,64,22,66,35.8,0.545,21,tested_negative
2,105,58,40,94,34.9,0.225,25,tested_negative
2,122,52,43,158,36.2,0.816,28,tested_negative
12,140,82,43,325,39.2,0.528,58,tested_positive
0,98,82,15,84,25.2,0.299,22,tested_negative
1,87,60,37,75,37.2,0.509,22,tested_negative
4,156,75,0,0,48.3,0.238,32,tested_positive
0,93,100,39,72,43.4,1.021,35,tested_negative
1,107,72,30,82,30.8,0.821,24,tested_negative
0,105,68,22,0,20,0.236,22,tested_negative
1,109,60,8,182,25.4,0.947,21,tested_negative
1,90,62,18,59,25.1,1.268,25,tested_negative
1,125,70,24,110,24.3,0.221,25,tested_negative
1,119,54,13,50,22.3,0.205,24,tested_negative
5,116,74,29,0,32.3,0.66,35,tested_positive
8,105,100,36,0,43.3,0.239,45,tested_positive
5,144,82,26,285,32,0.452,58,tested_positive
3,100,68,23,81,31.6,0.949,28,tested_negative
1,100,66,29,196,32,0.444,42,tested_negative
5,166,76,0,0,45.7,0.34,27,tested_positive
1,131,64,14,415,23.7,0.389,21,tested_negative
4,116,72,12,87,22.1,0.463,37,tested_negative
4,158,78,0,0,32.9,0.803,31,tested_positive
2,127,58,24,275,27.7,1.6,25,tested_negative
3,96,56,34,115,24.7,0.944,39,tested_negative
0,131,66,40,0,34.3,0.196,22,tested_positive
3,82,70,0,0,21.1,0.389,25,tested_negative
3,193,70,31,0,34.9,0.241,25,tested_positive
4,95,64,0,0,32,0.161,31,tested_positive
6,137,61,0,0,24.2,0.151,55,tested_negative
5,136,84,41,88,35,0.286,35,tested_positive
9,72,78,25,0,31.6,0.28,38,tested_negative
5,168,64,0,0,32.9,0.135,41,tested_positive
2,123,48,32,165,42.1,0.52,26,tested_negative
4,115,72,0,0,28.9,0.376,46,tested_positive
0,101,62,0,0,21.9,0.336,25,tested_negative
8,197,74,0,0,25.9,1.191,39,tested_positive
1,172,68,49,579,42.4,0.702,28,tested_positive
6,102,90,39,0,35.7,0.674,28,tested_negative
1,112,72,30,176,34.4,0.528,25,tested_negative
1,143,84,23,310,42.4,1.076,22,tested_negative
1,143,74,22,61,26.2,0.256,21,tested_negative
0,138,60,35,167,34.6,0.534,21,tested_positive
3,173,84,33,474,35.7,0.258,22,tested_positive
1,97,68,21,0,27.2,1.095,22,tested_negative
4,144,82,32,0,38.5,0.554,37,tested_positive
1,83,68,0,0,18.2,0.624,27,tested_negative
3,129,64,29,115,26.4,0.219,28,tested_positive
1,119,88,41,170,45.3,0.507,26,tested_negative
2,94,68,18,76,26,0.561,21,tested_negative
0,102,64,46,78,40.6,0.496,21,tested_negative
2,115,64,22,0,30.8,0.421,21,tested_negative
8,151,78,32,210,42.9,0.516,36,tested_positive
4,184,78,39,277,37,0.264,31,tested_positive
0,94,0,0,0,0,0.256,25,tested_negative
1,181,64,30,180,34.1,0.328,38,tested_positive
0,135,94,46,145,40.6,0.284,26,tested_negative
1,95,82,25,180,35,0.233,43,tested_positive
2,99,0,0,0,22.2,0.108,23,tested_negative
3,89,74,16,85,30.4,0.551,38,tested_negative
1,80,74,11,60,30,0.527,22,tested_negative
2,139,75,0,0,25.6,0.167,29,tested_negative
1,90,68,8,0,24.5,1.138,36,tested_negative
0,141,0,0,0,42.4,0.205,29,tested_positive
12,140,85,33,0,37.4,0.244,41,tested_negative
5,147,75,0,0,29.9,0.434,28,tested_negative
1,97,70,15,0,18.2,0.147,21,tested_negative
6,107,88,0,0,36.8,0.727,31,tested_negative
0,189,104,25,0,34.3,0.435,41,tested_positive
2,83,66,23,50,32.2,0.497,22,tested_negative
4,117,64,27,120,33.2,0.23,24,tested_negative
8,108,70,0,0,30.5,0.955,33,tested_positive
4,117,62,12,0,29.7,0.38,30,tested_positive
0,180,78,63,14,59.4,2.42,25,tested_positive
1,100,72,12,70,25.3,0.658,28,tested_negative
0,95,80,45,92,36.5,0.33,26,tested_negative
0,104,64,37,64,33.6,0.51,22,tested_positive
0,120,74,18,63,30.5,0.285,26,tested_negative
1,82,64,13,95,21.2,0.415,23,tested_negative
2,134,70,0,0,28.9,0.542,23,tested_positive
0,91,68,32,210,39.9,0.381,25,tested_negative
2,119,0,0,0,19.6,0.832,72,tested_negative
2,100,54,28,105,37.8,0.498,24,tested_negative
14,175,62,30,0,33.6,0.212,38,tested_positive
1,135,54,0,0,26.7,0.687,62,tested_negative
5,86,68,28,71,30.2,0.364,24,tested_negative
10,148,84,48,237,37.6,1.001,51,tested_positive
9,134,74,33,60,25.9,0.46,81,tested_negative
9,120,72,22,56,20.8,0.733,48,tested_negative
1,71,62,0,0,21.8,0.416,26,tested_negative
8,74,70,40,49,35.3,0.705,39,tested_negative
5,88,78,30,0,27.6,0.258,37,tested_negative
10,115,98,0,0,24,1.022,34,tested_negative
0,124,56,13,105,21.8,0.452,21,tested_negative
0,74,52,10,36,27.8,0.269,22,tested_negative
0,97,64,36,100,36.8,0.6,25,tested_negative
8,120,0,0,0,30,0.183,38,tested_positive
6,154,78,41,140,46.1,0.571,27,tested_negative
1,144,82,40,0,41.3,0.607,28,tested_negative
0,137,70,38,0,33.2,0.17,22,tested_negative
0,119,66,27,0,38.8,0.259,22,tested_negative
7,136,90,0,0,29.9,0.21,50,tested_negative
4,114,64,0,0,28.9,0.126,24,tested_negative
0,137,84,27,0,27.3,0.231,59,tested_negative
2,105,80,45,191,33.7,0.711,29,tested_positive
7,114,76,17,110,23.8,0.466,31,tested_negative
8,126,74,38,75,25.9,0.162,39,tested_negative
4,132,86,31,0,28,0.419,63,tested_negative
3,158,70,30,328,35.5,0.344,35,tested_positive
0,123,88,37,0,35.2,0.197,29,tested_negative
4,85,58,22,49,27.8,0.306,28,tested_negative
0,84,82,31,125,38.2,0.233,23,tested_negative
0,145,0,0,0,44.2,0.63,31,tested_positive
0,135,68,42,250,42.3,0.365,24,tested_positive
1,139,62,41,480,40.7,0.536,21,tested_negative
0,173,78,32,265,46.5,1.159,58,tested_negative
4,99,72,17,0,25.6,0.294,28,tested_negative
8,194,80,0,0,26.1,0.551,67,tested_negative
2,83,65,28,66,36.8,0.629,24,tested_negative
2,89,90,30,0,33.5,0.292,42,tested_negative
4,99,68,38,0,32.8,0.145,33,tested_negative
4,125,70,18,122,28.9,1.144,45,tested_positive
3,80,0,0,0,0,0.174,22,tested_negative
6,166,74,0,0,26.6,0.304,66,tested_negative
5,110,68,0,0,26,0.292,30,tested_negative
2,81,72,15,76,30.1,0.547,25,tested_negative
7,195,70,33,145,25.1,0.163,55,tested_positive
6,154,74,32,193,29.3,0.839,39,tested_negative
2,117,90,19,71,25.2,0.313,21,tested_negative
3,84,72,32,0,37.2,0.267,28,tested_negative
6,0,68,41,0,39,0.727,41,tested_positive
7,94,64,25,79,33.3,0.738,41,tested_negative
3,96,78,39,0,37.3,0.238,40,tested_negative
10,75,82,0,0,33.3,0.263,38,tested_negative
0,180,90,26,90,36.5,0.314,35,tested_positive
1,130,60,23,170,28.6,0.692,21,tested_negative
2,84,50,23,76,30.4,0.968,21,tested_negative
8,120,78,0,0,25,0.409,64,tested_negative
12,84,72,31,0,29.7,0.297,46,tested_positive
0,139,62,17,210,22.1,0.207,21,tested_negative
9,91,68,0,0,24.2,0.2,58,tested_negative
2,91,62,0,0,27.3,0.525,22,tested_negative
3,99,54,19,86,25.6,0.154,24,tested_negative
3,163,70,18,105,31.6,0.268,28,tested_positive
9,145,88,34,165,30.3,0.771,53,tested_positive
7,125,86,0,0,37.6,0.304,51,tested_negative
13,76,60,0,0,32.8,0.18,41,tested_negative
6,129,90,7,326,19.6,0.582,60,tested_negative
2,68,70,32,66,25,0.187,25,tested_negative
3,124,80,33,130,33.2,0.305,26,tested_negative
6,114,0,0,0,0,0.189,26,tested_negative
9,130,70,0,0,34.2,0.652,45,tested_positive
3,125,58,0,0,31.6,0.151,24,tested_negative
3,87,60,18,0,21.8,0.444,21,tested_negative
1,97,64,19,82,18.2,0.299,21,tested_negative
3,116,74,15,105,26.3,0.107,24,tested_negative
0,117,66,31,188,30.8,0.493,22,tested_negative
0,111,65,0,0,24.6,0.66,31,tested_negative
2,122,60,18,106,29.8,0.717,22,tested_negative
0,107,76,0,0,45.3,0.686,24,tested_negative
1,86,66,52,65,41.3,0.917,29,tested_negative
6,91,0,0,0,29.8,0.501,31,tested_negative
1,77,56,30,56,33.3,1.251,24,tested_negative
4,132,0,0,0,32.9,0.302,23,tested_positive
0,105,90,0,0,29.6,0.197,46,tested_negative
0,57,60,0,0,21.7,0.735,67,tested_negative
0,127,80,37,210,36.3,0.804,23,tested_negative
3,129,92,49,155,36.4,0.968,32,tested_positive
8,100,74,40,215,39.4,0.661,43,tested_positive
3,128,72,25,190,32.4,0.549,27,tested_positive
10,90,85,32,0,34.9,0.825,56,tested_positive
4,84,90,23,56,39.5,0.159,25,tested_negative
1,88,78,29,76,32,0.365,29,tested_negative
8,186,90,35,225,34.5,0.423,37,tested_positive
5,187,76,27,207,43.6,1.034,53,tested_positive
4,131,68,21,166,33.1,0.16,28,tested_negative
1,164,82,43,67,32.8,0.341,50,tested_negative
4,189,110,31,0,28.5,0.68,37,tested_negative
1,116,70,28,0,27.4,0.204,21,tested_negative
3,84,68,30,106,31.9,0.591,25,tested_negative
6,114,88,0,0,27.8,0.247,66,tested_negative
1,88,62,24,44,29.9,0.422,23,tested_negative
1,84,64,23,115,36.9,0.471,28,tested_negative
7,124,70,33,215,25.5,0.161,37,tested_negative
1,97,70,40,0,38.1,0.218,30,tested_negative
8,110,76,0,0,27.8,0.237,58,tested_negative
11,103,68,40,0,46.2,0.126,42,tested_negative
11,85,74,0,0,30.1,0.3,35,tested_negative
6,125,76,0,0,33.8,0.121,54,tested_positive
0,198,66,32,274,41.3,0.502,28,tested_positive
1,87,68,34,77,37.6,0.401,24,tested_negative
6,99,60,19,54,26.9,0.497,32,tested_negative
0,91,80,0,0,32.4,0.601,27,tested_negative
2,95,54,14,88,26.1,0.748,22,tested_negative
1,99,72,30,18,38.6,0.412,21,tested_negative
6,92,62,32,126,32,0.085,46,tested_negative
4,154,72,29,126,31.3,0.338,37,tested_negative
0,121,66,30,165,34.3,0.203,33,tested_positive
3,78,70,0,0,32.5,0.27,39,tested_negative
2,130,96,0,0,22.6,0.268,21,tested_negative
3,111,58,31,44,29.5,0.43,22,tested_negative
2,98,60,17,120,34.7,0.198,22,tested_negative
1,143,86,30,330,30.1,0.892,23,tested_negative
1,119,44,47,63,35.5,0.28,25,tested_negative
6,108,44,20,130,24,0.813,35,tested_negative
2,118,80,0,0,42.9,0.693,21,tested_positive
10,133,68,0,0,27,0.245,36,tested_negative
2,197,70,99,0,34.7,0.575,62,tested_positive
0,151,90,46,0,42.1,0.371,21,tested_positive
6,109,60,27,0,25,0.206,27,tested_negative
12,121,78,17,0,26.5,0.259,62,tested_negative
8,100,76,0,0,38.7,0.19,42,tested_negative
8,124,76,24,600,28.7,0.687,52,tested_positive
1,93,56,11,0,22.5,0.417,22,tested_negative
8,143,66,0,0,34.9,0.129,41,tested_positive
6,103,66,0,0,24.3,0.249,29,tested_negative
3,176,86,27,156,33.3,1.154,52,tested_positive
0,73,0,0,0,21.1,0.342,25,tested_negative
11,111,84,40,0,46.8,0.925,45,tested_positive
2,112,78,50,140,39.4,0.175,24,tested_negative
3,132,80,0,0,34.4,0.402,44,tested_positive
2,82,52,22,115,28.5,1.699,25,tested_negative
6,123,72,45,230,33.6,0.733,34,tested_negative
0,188,82,14,185,32,0.682,22,tested_positive
0,67,76,0,0,45.3,0.194,46,tested_negative
1,89,24,19,25,27.8,0.559,21,tested_negative
1,173,74,0,0,36.8,0.088,38,tested_positive
1,109,38,18,120,23.1,0.407,26,tested_negative
1,108,88,19,0,27.1,0.4,24,tested_negative
6,96,0,0,0,23.7,0.19,28,tested_negative
1,124,74,36,0,27.8,0.1,30,tested_negative
7,150,78,29,126,35.2,0.692,54,tested_positive
4,183,0,0,0,28.4,0.212,36,tested_positive
1,124,60,32,0,35.8,0.514,21,tested_negative
1,181,78,42,293,40,1.258,22,tested_positive
1,92,62,25,41,19.5,0.482,25,tested_negative
0,152,82,39,272,41.5,0.27,27,tested_negative
1,111,62,13,182,24,0.138,23,tested_negative
3,106,54,21,158,30.9,0.292,24,tested_negative
3,174,58,22,194,32.9,0.593,36,tested_positive
7,168,88,42,321,38.2,0.787,40,tested_positive
6,105,80,28,0,32.5,0.878,26,tested_negative
11,138,74,26,144,36.1,0.557,50,tested_positive
3,106,72,0,0,25.8,0.207,27,tested_negative
6,117,96,0,0,28.7,0.157,30,tested_negative
2,68,62,13,15,20.1,0.257,23,tested_negative
9,112,82,24,0,28.2,1.282,50,tested_positive
0,119,0,0,0,32.4,0.141,24,tested_positive
2,112,86,42,160,38.4,0.246,28,tested_negative
2,92,76,20,0,24.2,1.698,28,tested_negative
6,183,94,0,0,40.8,1.461,45,tested_negative
0,94,70,27,115,43.5,0.347,21,tested_negative
2,108,64,0,0,30.8,0.158,21,tested_negative
4,90,88,47,54,37.7,0.362,29,tested_negative
0,125,68,0,0,24.7,0.206,21,tested_negative
0,132,78,0,0,32.4,0.393,21,tested_negative
5,128,80,0,0,34.6,0.144,45,tested_negative
4,94,65,22,0,24.7,0.148,21,tested_negative
7,114,64,0,0,27.4,0.732,34,tested_positive
0,102,78,40,90,34.5,0.238,24,tested_negative
2,111,60,0,0,26.2,0.343,23,tested_negative
1,128,82,17,183,27.5,0.115,22,tested_negative
10,92,62,0,0,25.9,0.167,31,tested_negative
13,104,72,0,0,31.2,0.465,38,tested_positive
5,104,74,0,0,28.8,0.153,48,tested_negative
2,94,76,18,66,31.6,0.649,23,tested_negative
7,97,76,32,91,40.9,0.871,32,tested_positive
1,100,74,12,46,19.5,0.149,28,tested_negative
0,102,86,17,105,29.3,0.695,27,tested_negative
4,128,70,0,0,34.3,0.303,24,tested_negative
6,147,80,0,0,29.5,0.178,50,tested_positive
4,90,0,0,0,28,0.61,31,tested_negative
3,103,72,30,152,27.6,0.73,27,tested_negative
2,157,74,35,440,39.4,0.134,30,tested_negative
1,167,74,17,144,23.4,0.447,33,tested_positive
0,179,50,36,159,37.8,0.455,22,tested_positive
11,136,84,35,130,28.3,0.26,42,tested_positive
0,107,60,25,0,26.4,0.133,23,tested_negative
1,91,54,25,100,25.2,0.234,23,tested_negative
1,117,60,23,106,33.8,0.466,27,tested_negative
5,123,74,40,77,34.1,0.269,28,tested_negative
2,120,54,0,0,26.8,0.455,27,tested_negative
1,106,70,28,135,34.2,0.142,22,tested_negative
2,155,52,27,540,38.7,0.24,25,tested_positive
2,101,58,35,90,21.8,0.155,22,tested_negative
1,120,80,48,200,38.9,1.162,41,tested_negative
11,127,106,0,0,39,0.19,51,tested_negative
3,80,82,31,70,34.2,1.292,27,tested_positive
10,162,84,0,0,27.7,0.182,54,tested_negative
1,199,76,43,0,42.9,1.394,22,tested_positive
8,167,106,46,231,37.6,0.165,43,tested_positive
9,145,80,46,130,37.9,0.637,40,tested_positive
6,115,60,39,0,33.7,0.245,40,tested_positive
1,112,80,45,132,34.8,0.217,24,tested_negative
4,145,82,18,0,32.5,0.235,70,tested_positive
10,111,70,27,0,27.5,0.141,40,tested_positive
6,98,58,33,190,34,0.43,43,tested_negative
9,154,78,30,100,30.9,0.164,45,tested_negative
6,165,68,26,168,33.6,0.631,49,tested_negative
1,99,58,10,0,25.4,0.551,21,tested_negative
10,68,106,23,49,35.5,0.285,47,tested_negative
3,123,100,35,240,57.3,0.88,22,tested_negative
8,91,82,0,0,35.6,0.587,68,tested_negative
6,195,70,0,0,30.9,0.328,31,tested_positive
9,156,86,0,0,24.8,0.23,53,tested_positive
0,93,60,0,0,35.3,0.263,25,tested_negative
3,121,52,0,0,36,0.127,25,tested_positive
2,101,58,17,265,24.2,0.614,23,tested_negative
2,56,56,28,45,24.2,0.332,22,tested_negative
0,162,76,36,0,49.6,0.364,26,tested_positive
0,95,64,39,105,44.6,0.366,22,tested_negative
4,125,80,0,0,32.3,0.536,27,tested_positive
5,136,82,0,0,0,0.64,69,tested_negative
2,129,74,26,205,33.2,0.591,25,tested_negative
3,130,64,0,0,23.1,0.314,22,tested_negative
1,107,50,19,0,28.3,0.181,29,tested_negative
1,140,74,26,180,24.1,0.828,23,tested_negative
1,144,82,46,180,46.1,0.335,46,tested_positive
8,107,80,0,0,24.6,0.856,34,tested_negative
13,158,114,0,0,42.3,0.257,44,tested_positive
2,121,70,32,95,39.1,0.886,23,tested_negative
7,129,68,49,125,38.5,0.439,43,tested_positive
2,90,60,0,0,23.5,0.191,25,tested_negative
7,142,90,24,480,30.4,0.128,43,tested_positive
3,169,74,19,125,29.9,0.268,31,tested_positive
0,99,0,0,0,25,0.253,22,tested_negative
4,127,88,11,155,34.5,0.598,28,tested_negative
4,118,70,0,0,44.5,0.904,26,tested_negative
2,122,76,27,200,35.9,0.483,26,tested_negative
6,125,78,31,0,27.6,0.565,49,tested_positive
1,168,88,29,0,35,0.905,52,tested_positive
2,129,0,0,0,38.5,0.304,41,tested_negative
4,110,76,20,100,28.4,0.118,27,tested_negative
6,80,80,36,0,39.8,0.177,28,tested_negative
10,115,0,0,0,0,0.261,30,tested_positive
2,127,46,21,335,34.4,0.176,22,tested_negative
9,164,78,0,0,32.8,0.148,45,tested_positive
2,93,64,32,160,38,0.674,23,tested_positive
3,158,64,13,387,31.2,0.295,24,tested_negative
5,126,78,27,22,29.6,0.439,40,tested_negative
10,129,62,36,0,41.2,0.441,38,tested_positive
0,134,58,20,291,26.4,0.352,21,tested_negative
3,102,74,0,0,29.5,0.121,32,tested_negative
7,187,50,33,392,33.9,0.826,34,tested_positive
3,173,78,39,185,33.8,0.97,31,tested_positive
10,94,72,18,0,23.1,0.595,56,tested_negative
1,108,60,46,178,35.5,0.415,24,tested_negative
5,97,76,27,0,35.6,0.378,52,tested_positive
4,83,86,19,0,29.3,0.317,34,tested_negative
1,114,66,36,200,38.1,0.289,21,tested_negative
1,149,68,29,127,29.3,0.349,42,tested_positive
5,117,86,30,105,39.1,0.251,42,tested_negative
1,111,94,0,0,32.8,0.265,45,tested_negative
4,112,78,40,0,39.4,0.236,38,tested_negative
1,116,78,29,180,36.1,0.496,25,tested_negative
0,141,84,26,0,32.4,0.433,22,tested_negative
2,175,88,0,0,22.9,0.326,22,tested_negative
2,92,52,0,0,30.1,0.141,22,tested_negative
3,130,78,23,79,28.4,0.323,34,tested_positive
8,120,86,0,0,28.4,0.259,22,tested_positive
2,174,88,37,120,44.5,0.646,24,tested_positive
2,106,56,27,165,29,0.426,22,tested_negative
2,105,75,0,0,23.3,0.56,53,tested_negative
4,95,60,32,0,35.4,0.284,28,tested_negative
0,126,86,27,120,27.4,0.515,21,tested_negative
8,65,72,23,0,32,0.6,42,tested_negative
2,99,60,17,160,36.6,0.453,21,tested_negative
1,102,74,0,0,39.5,0.293,42,tested_positive
11,120,80,37,150,42.3,0.785,48,tested_positive
3,102,44,20,94,30.8,0.4,26,tested_negative
1,109,58,18,116,28.5,0.219,22,tested_negative
9,140,94,0,0,32.7,0.734,45,tested_positive
13,153,88,37,140,40.6,1.174,39,tested_negative
12,100,84,33,105,30,0.488,46,tested_negative
1,147,94,41,0,49.3,0.358,27,tested_positive
1,81,74,41,57,46.3,1.096,32,tested_negative
3,187,70,22,200,36.4,0.408,36,tested_positive
6,162,62,0,0,24.3,0.178,50,tested_positive
4,136,70,0,0,31.2,1.182,22,tested_positive
1,121,78,39,74,39,0.261,28,tested_negative
3,108,62,24,0,26,0.223,25,tested_negative
0,181,88,44,510,43.3,0.222,26,tested_positive
8,154,78,32,0,32.4,0.443,45,tested_positive
1,128,88,39,110,36.5,1.057,37,tested_positive
7,137,90,41,0,32,0.391,39,tested_negative
0,123,72,0,0,36.3,0.258,52,tested_positive
1,106,76,0,0,37.5,0.197,26,tested_negative
6,190,92,0,0,35.5,0.278,66,tested_positive
2,88,58,26,16,28.4,0.766,22,tested_negative
9,170,74,31,0,44,0.403,43,tested_positive
9,89,62,0,0,22.5,0.142,33,tested_negative
10,101,76,48,180,32.9,0.171,63,tested_negative
2,122,70,27,0,36.8,0.34,27,tested_negative
5,121,72,23,112,26.2,0.245,30,tested_negative
1,126,60,0,0,30.1,0.349,47,tested_positive
1,93,70,31,0,30.4,0.315,23,tested_negative

332
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% 1. Title: Glass Identification Database
%
% 2. Sources:
% (a) Creator: B. German
% -- Central Research Establishment
% Home Office Forensic Science Service
% Aldermaston, Reading, Berkshire RG7 4PN
% (b) Donor: Vina Spiehler, Ph.D., DABFT
% Diagnostic Products Corporation
% (213) 776-0180 (ext 3014)
% (c) Date: September, 1987
%
% 3. Past Usage:
% -- Rule Induction in Forensic Science
% -- Ian W. Evett and Ernest J. Spiehler
% -- Central Research Establishment
% Home Office Forensic Science Service
% Aldermaston, Reading, Berkshire RG7 4PN
% -- Unknown technical note number (sorry, not listed here)
% -- General Results: nearest neighbor held its own with respect to the
% rule-based system
%
% 4. Relevant Information:n
% Vina conducted a comparison test of her rule-based system, BEAGLE, the
% nearest-neighbor algorithm, and discriminant analysis. BEAGLE is
% a product available through VRS Consulting, Inc.; 4676 Admiralty Way,
% Suite 206; Marina Del Ray, CA 90292 (213) 827-7890 and FAX: -3189.
% In determining whether the glass was a type of "float" glass or not,
% the following results were obtained (# incorrect answers):
%
% Type of Sample Beagle NN DA
% Windows that were float processed (87) 10 12 21
% Windows that were not: (76) 19 16 22
%
% The study of classification of types of glass was motivated by
% criminological investigation. At the scene of the crime, the glass left
% can be used as evidence...if it is correctly identified!
%
% 5. Number of Instances: 214
%
% 6. Number of Attributes: 10 (including an Id#) plus the class attribute
% -- all attributes are continuously valued
%
% 7. Attribute Information:
% 1. Id number: 1 to 214
% 2. RI: refractive index
% 3. Na: Sodium (unit measurement: weight percent in corresponding oxide, as
% are attributes 4-10)
% 4. Mg: Magnesium
% 5. Al: Aluminum
% 6. Si: Silicon
% 7. K: Potassium
% 8. Ca: Calcium
% 9. Ba: Barium
% 10. Fe: Iron
% 11. Type of glass: (class attribute)
% -- 1 building_windows_float_processed
% -- 2 building_windows_non_float_processed
% -- 3 vehicle_windows_float_processed
% -- 4 vehicle_windows_non_float_processed (none in this database)
% -- 5 containers
% -- 6 tableware
% -- 7 headlamps
%
% 8. Missing Attribute Values: None
%
% Summary Statistics:
% Attribute: Min Max Mean SD Correlation with class
% 2. RI: 1.5112 1.5339 1.5184 0.0030 -0.1642
% 3. Na: 10.73 17.38 13.4079 0.8166 0.5030
% 4. Mg: 0 4.49 2.6845 1.4424 -0.7447
% 5. Al: 0.29 3.5 1.4449 0.4993 0.5988
% 6. Si: 69.81 75.41 72.6509 0.7745 0.1515
% 7. K: 0 6.21 0.4971 0.6522 -0.0100
% 8. Ca: 5.43 16.19 8.9570 1.4232 0.0007
% 9. Ba: 0 3.15 0.1750 0.4972 0.5751
% 10. Fe: 0 0.51 0.0570 0.0974 -0.1879
%
% 9. Class Distribution: (out of 214 total instances)
% -- 163 Window glass (building windows and vehicle windows)
% -- 87 float processed
% -- 70 building windows
% -- 17 vehicle windows
% -- 76 non-float processed
% -- 76 building windows
% -- 0 vehicle windows
% -- 51 Non-window glass
% -- 13 containers
% -- 9 tableware
% -- 29 headlamps
%
%
%
%
%
%
%
% Relabeled values in attribute 'Type'
% From: '1' To: 'build wind float'
% From: '2' To: 'build wind non-float'
% From: '3' To: 'vehic wind float'
% From: '4' To: 'vehic wind non-float'
% From: '5' To: containers
% From: '6' To: tableware
% From: '7' To: headlamps
%
@relation Glass
@attribute 'RI' real
@attribute 'Na' real
@attribute 'Mg' real
@attribute 'Al' real
@attribute 'Si' real
@attribute 'K' real
@attribute 'Ca' real
@attribute 'Ba' real
@attribute 'Fe' real
@attribute 'Type' {'build wind float', 'build wind non-float', 'vehic wind float', 'vehic wind non-float', containers, tableware, headlamps}
@data
1.51793,12.79,3.5,1.12,73.03,0.64,8.77,0,0,'build wind float'
1.51643,12.16,3.52,1.35,72.89,0.57,8.53,0,0,'vehic wind float'
1.51793,13.21,3.48,1.41,72.64,0.59,8.43,0,0,'build wind float'
1.51299,14.4,1.74,1.54,74.55,0,7.59,0,0,tableware
1.53393,12.3,0,1,70.16,0.12,16.19,0,0.24,'build wind non-float'
1.51655,12.75,2.85,1.44,73.27,0.57,8.79,0.11,0.22,'build wind non-float'
1.51779,13.64,3.65,0.65,73,0.06,8.93,0,0,'vehic wind float'
1.51837,13.14,2.84,1.28,72.85,0.55,9.07,0,0,'build wind float'
1.51545,14.14,0,2.68,73.39,0.08,9.07,0.61,0.05,headlamps
1.51789,13.19,3.9,1.3,72.33,0.55,8.44,0,0.28,'build wind non-float'
1.51625,13.36,3.58,1.49,72.72,0.45,8.21,0,0,'build wind non-float'
1.51743,12.2,3.25,1.16,73.55,0.62,8.9,0,0.24,'build wind non-float'
1.52223,13.21,3.77,0.79,71.99,0.13,10.02,0,0,'build wind float'
1.52121,14.03,3.76,0.58,71.79,0.11,9.65,0,0,'vehic wind float'
1.51665,13.14,3.45,1.76,72.48,0.6,8.38,0,0.17,'vehic wind float'
1.51707,13.48,3.48,1.71,72.52,0.62,7.99,0,0,'build wind non-float'
1.51719,14.75,0,2,73.02,0,8.53,1.59,0.08,headlamps
1.51629,12.71,3.33,1.49,73.28,0.67,8.24,0,0,'build wind non-float'
1.51994,13.27,0,1.76,73.03,0.47,11.32,0,0,containers
1.51811,12.96,2.96,1.43,72.92,0.6,8.79,0.14,0,'build wind non-float'
1.52152,13.05,3.65,0.87,72.22,0.19,9.85,0,0.17,'build wind float'
1.52475,11.45,0,1.88,72.19,0.81,13.24,0,0.34,'build wind non-float'
1.51841,12.93,3.74,1.11,72.28,0.64,8.96,0,0.22,'build wind non-float'
1.51754,13.39,3.66,1.19,72.79,0.57,8.27,0,0.11,'build wind float'
1.52058,12.85,1.61,2.17,72.18,0.76,9.7,0.24,0.51,containers
1.51569,13.24,3.49,1.47,73.25,0.38,8.03,0,0,'build wind non-float'
1.5159,12.82,3.52,1.9,72.86,0.69,7.97,0,0,'build wind non-float'
1.51683,14.56,0,1.98,73.29,0,8.52,1.57,0.07,headlamps
1.51687,13.23,3.54,1.48,72.84,0.56,8.1,0,0,'build wind non-float'
1.5161,13.33,3.53,1.34,72.67,0.56,8.33,0,0,'vehic wind float'
1.51674,12.87,3.56,1.64,73.14,0.65,7.99,0,0,'build wind non-float'
1.51832,13.33,3.34,1.54,72.14,0.56,8.99,0,0,'vehic wind float'
1.51115,17.38,0,0.34,75.41,0,6.65,0,0,tableware
1.51645,13.44,3.61,1.54,72.39,0.66,8.03,0,0,'build wind non-float'
1.51755,13,3.6,1.36,72.99,0.57,8.4,0,0.11,'build wind float'
1.51571,12.72,3.46,1.56,73.2,0.67,8.09,0,0.24,'build wind float'
1.51596,12.79,3.61,1.62,72.97,0.64,8.07,0,0.26,'build wind float'
1.5173,12.35,2.72,1.63,72.87,0.7,9.23,0,0,'build wind non-float'
1.51662,12.85,3.51,1.44,73.01,0.68,8.23,0.06,0.25,'build wind non-float'
1.51409,14.25,3.09,2.08,72.28,1.1,7.08,0,0,'build wind non-float'
1.51797,12.74,3.48,1.35,72.96,0.64,8.68,0,0,'build wind float'
1.51806,13,3.8,1.08,73.07,0.56,8.38,0,0.12,'build wind non-float'
1.51627,13,3.58,1.54,72.83,0.61,8.04,0,0,'build wind non-float'
1.5159,13.24,3.34,1.47,73.1,0.39,8.22,0,0,'build wind non-float'
1.51934,13.64,3.54,0.75,72.65,0.16,8.89,0.15,0.24,'vehic wind float'
1.51755,12.71,3.42,1.2,73.2,0.59,8.64,0,0,'build wind float'
1.51514,14.01,2.68,3.5,69.89,1.68,5.87,2.2,0,containers
1.51766,13.21,3.69,1.29,72.61,0.57,8.22,0,0,'build wind float'
1.51784,13.08,3.49,1.28,72.86,0.6,8.49,0,0,'build wind float'
1.52177,13.2,3.68,1.15,72.75,0.54,8.52,0,0,'build wind non-float'
1.51753,12.57,3.47,1.38,73.39,0.6,8.55,0,0.06,'build wind float'
1.51851,13.2,3.63,1.07,72.83,0.57,8.41,0.09,0.17,'build wind non-float'
1.51743,13.3,3.6,1.14,73.09,0.58,8.17,0,0,'build wind float'
1.51593,13.09,3.59,1.52,73.1,0.67,7.83,0,0,'build wind non-float'
1.5164,14.37,0,2.74,72.85,0,9.45,0.54,0,headlamps
1.51735,13.02,3.54,1.69,72.73,0.54,8.44,0,0.07,'build wind float'
1.52247,14.86,2.2,2.06,70.26,0.76,9.76,0,0,headlamps
1.52099,13.69,3.59,1.12,71.96,0.09,9.4,0,0,'build wind float'
1.51769,13.65,3.66,1.11,72.77,0.11,8.6,0,0,'vehic wind float'
1.51846,13.41,3.89,1.33,72.38,0.51,8.28,0,0,'build wind non-float'
1.51848,13.64,3.87,1.27,71.96,0.54,8.32,0,0.32,'build wind non-float'
1.51905,13.6,3.62,1.11,72.64,0.14,8.76,0,0,'build wind float'
1.51567,13.29,3.45,1.21,72.74,0.56,8.57,0,0,'build wind float'
1.52213,14.21,3.82,0.47,71.77,0.11,9.57,0,0,'build wind float'
1.5232,13.72,3.72,0.51,71.75,0.09,10.06,0,0.16,'build wind float'
1.51556,13.87,0,2.54,73.23,0.14,9.41,0.81,0.01,headlamps
1.51926,13.2,3.33,1.28,72.36,0.6,9.14,0,0.11,'build wind float'
1.52211,14.19,3.78,0.91,71.36,0.23,9.14,0,0.37,'vehic wind float'
1.53125,10.73,0,2.1,69.81,0.58,13.3,3.15,0.28,'build wind non-float'
1.52152,13.05,3.65,0.87,72.32,0.19,9.85,0,0.17,'build wind float'
1.51829,14.46,2.24,1.62,72.38,0,9.26,0,0,tableware
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1.51888,14.99,0.78,1.74,72.5,0,9.95,0,0,tableware
1.51829,13.24,3.9,1.41,72.33,0.55,8.31,0,0.1,'build wind non-float'
1.523,13.31,3.58,0.82,71.99,0.12,10.17,0,0.03,'build wind float'
1.51652,13.56,3.57,1.47,72.45,0.64,7.96,0,0,'build wind non-float'
1.51768,12.56,3.52,1.43,73.15,0.57,8.54,0,0,'build wind float'
1.51215,12.99,3.47,1.12,72.98,0.62,8.35,0,0.31,'build wind float'
1.51646,13.04,3.4,1.26,73.01,0.52,8.58,0,0,'vehic wind float'
1.51721,12.87,3.48,1.33,73.04,0.56,8.43,0,0,'build wind float'
1.51763,12.8,3.66,1.27,73.01,0.6,8.56,0,0,'build wind float'
1.51742,13.27,3.62,1.24,73.08,0.55,8.07,0,0,'build wind float'
1.52127,14.32,3.9,0.83,71.5,0,9.49,0,0,'vehic wind float'
1.51779,13.21,3.39,1.33,72.76,0.59,8.59,0,0,'build wind float'
1.52171,11.56,1.88,1.56,72.86,0.47,11.41,0,0,containers
1.518,13.71,3.93,1.54,71.81,0.54,8.21,0,0.15,'build wind non-float'
1.52777,12.64,0,0.67,72.02,0.06,14.4,0,0,'build wind non-float'
1.5175,12.82,3.55,1.49,72.75,0.54,8.52,0,0.19,'build wind float'
1.51764,12.98,3.54,1.21,73,0.65,8.53,0,0,'build wind float'
1.52177,13.75,1.01,1.36,72.19,0.33,11.14,0,0,'build wind non-float'
1.51645,14.94,0,1.87,73.11,0,8.67,1.38,0,headlamps
1.51786,12.73,3.43,1.19,72.95,0.62,8.76,0,0.3,'build wind float'
1.52152,13.12,3.58,0.9,72.2,0.23,9.82,0,0.16,'build wind float'
1.51937,13.79,2.41,1.19,72.76,0,9.77,0,0,tableware
1.51514,14.85,0,2.42,73.72,0,8.39,0.56,0,headlamps
1.52172,13.48,3.74,0.9,72.01,0.18,9.61,0,0.07,'build wind float'
1.51732,14.95,0,1.8,72.99,0,8.61,1.55,0,headlamps
1.5202,13.98,1.35,1.63,71.76,0.39,10.56,0,0.18,'build wind non-float'
1.51605,12.9,3.44,1.45,73.06,0.44,8.27,0,0,'build wind non-float'
1.51847,13.1,3.97,1.19,72.44,0.6,8.43,0,0,'build wind non-float'
1.51761,13.89,3.6,1.36,72.73,0.48,7.83,0,0,'build wind float'
1.51673,13.3,3.64,1.53,72.53,0.65,8.03,0,0.29,'build wind non-float'
1.52365,15.79,1.83,1.31,70.43,0.31,8.61,1.68,0,headlamps
1.51685,14.92,0,1.99,73.06,0,8.4,1.59,0,headlamps
1.51658,14.8,0,1.99,73.11,0,8.28,1.71,0,headlamps
1.51316,13.02,0,3.04,70.48,6.21,6.96,0,0,containers
1.51709,13,3.47,1.79,72.72,0.66,8.18,0,0,'build wind non-float'
1.51727,14.7,0,2.34,73.28,0,8.95,0.66,0,headlamps
1.51898,13.58,3.35,1.23,72.08,0.59,8.91,0,0,'build wind float'
1.51969,12.64,0,1.65,73.75,0.38,11.53,0,0,containers
1.5182,12.62,2.76,0.83,73.81,0.35,9.42,0,0.2,'build wind non-float'
1.51617,14.95,0,2.27,73.3,0,8.71,0.67,0,headlamps
1.51911,13.9,3.73,1.18,72.12,0.06,8.89,0,0,'build wind float'
1.51651,14.38,0,1.94,73.61,0,8.48,1.57,0,headlamps
1.51694,12.86,3.58,1.31,72.61,0.61,8.79,0,0,'vehic wind float'
1.52315,13.44,3.34,1.23,72.38,0.6,8.83,0,0,headlamps
1.52068,13.55,2.09,1.67,72.18,0.53,9.57,0.27,0.17,'build wind non-float'
1.51838,14.32,3.26,2.22,71.25,1.46,5.79,1.63,0,headlamps
1.51818,13.72,0,0.56,74.45,0,10.99,0,0,'build wind non-float'
1.51769,12.45,2.71,1.29,73.7,0.56,9.06,0,0.24,'build wind float'
1.5166,12.99,3.18,1.23,72.97,0.58,8.81,0,0.24,'build wind non-float'
1.51589,12.88,3.43,1.4,73.28,0.69,8.05,0,0.24,'build wind float'
1.5241,13.83,2.9,1.17,71.15,0.08,10.79,0,0,'build wind non-float'
1.52725,13.8,3.15,0.66,70.57,0.08,11.64,0,0,'build wind non-float'
1.52119,12.97,0.33,1.51,73.39,0.13,11.27,0,0.28,containers
1.51748,12.86,3.56,1.27,73.21,0.54,8.38,0,0.17,'build wind float'
1.51653,11.95,0,1.19,75.18,2.7,8.93,0,0,headlamps
1.51623,14.14,0,2.88,72.61,0.08,9.18,1.06,0,headlamps
1.52101,13.64,4.49,1.1,71.78,0.06,8.75,0,0,'build wind float'
1.51763,12.61,3.59,1.31,73.29,0.58,8.5,0,0,'build wind float'
1.51596,13.02,3.56,1.54,73.11,0.72,7.9,0,0,'build wind non-float'
1.51674,12.79,3.52,1.54,73.36,0.66,7.9,0,0,'build wind non-float'
1.52065,14.36,0,2.02,73.42,0,8.44,1.64,0,headlamps
1.51768,12.65,3.56,1.3,73.08,0.61,8.69,0,0.14,'build wind float'
1.52369,13.44,0,1.58,72.22,0.32,12.24,0,0,containers
1.51756,13.15,3.61,1.05,73.24,0.57,8.24,0,0,'build wind float'
1.51754,13.48,3.74,1.17,72.99,0.59,8.03,0,0,'build wind float'
1.51711,12.89,3.62,1.57,72.96,0.61,8.11,0,0,'build wind non-float'
1.5221,13.73,3.84,0.72,71.76,0.17,9.74,0,0,'build wind float'
1.51594,13.09,3.52,1.55,72.87,0.68,8.05,0,0.09,'build wind non-float'
1.51784,12.68,3.67,1.16,73.11,0.61,8.7,0,0,'build wind float'
1.51909,13.89,3.53,1.32,71.81,0.51,8.78,0.11,0,'build wind float'
1.51977,13.81,3.58,1.32,71.72,0.12,8.67,0.69,0,'build wind float'
1.51666,12.86,0,1.83,73.88,0.97,10.17,0,0,containers
1.51631,13.34,3.57,1.57,72.87,0.61,7.89,0,0,'build wind non-float'
1.51872,12.93,3.66,1.56,72.51,0.58,8.55,0,0.12,'build wind non-float'
1.51708,13.72,3.68,1.81,72.06,0.64,7.88,0,0,'build wind non-float'
1.52081,13.78,2.28,1.43,71.99,0.49,9.85,0,0.17,'build wind non-float'
1.51574,14.86,3.67,1.74,71.87,0.16,7.36,0,0.12,'build wind non-float'
1.51813,13.43,3.98,1.18,72.49,0.58,8.15,0,0,'build wind non-float'
1.51131,13.69,3.2,1.81,72.81,1.76,5.43,1.19,0,headlamps
1.52227,14.17,3.81,0.78,71.35,0,9.69,0,0,'build wind float'
1.52614,13.7,0,1.36,71.24,0.19,13.44,0,0.1,'build wind non-float'
1.51811,13.33,3.85,1.25,72.78,0.52,8.12,0,0,'build wind non-float'
1.51655,13.41,3.39,1.28,72.64,0.52,8.65,0,0,'vehic wind float'
1.51751,12.81,3.57,1.35,73.02,0.62,8.59,0,0,'build wind float'
1.51508,15.15,0,2.25,73.5,0,8.34,0.63,0,headlamps
1.51915,12.73,1.85,1.86,72.69,0.6,10.09,0,0,containers
1.51966,14.77,3.75,0.29,72.02,0.03,9,0,0,'build wind float'
1.51844,13.25,3.76,1.32,72.4,0.58,8.42,0,0,'build wind non-float'
1.52664,11.23,0,0.77,73.21,0,14.68,0,0,'build wind non-float'
1.52172,13.51,3.86,0.88,71.79,0.23,9.54,0,0.11,'build wind float'
1.51602,14.85,0,2.38,73.28,0,8.76,0.64,0.09,headlamps
1.51321,13,0,3.02,70.7,6.21,6.93,0,0,containers
1.52739,11.02,0,0.75,73.08,0,14.96,0,0,'build wind non-float'
1.52213,14.21,3.82,0.47,71.77,0.11,9.57,0,0,'build wind float'
1.51747,12.84,3.5,1.14,73.27,0.56,8.55,0,0,'build wind float'
1.51839,12.85,3.67,1.24,72.57,0.62,8.68,0,0.35,'build wind non-float'
1.51646,13.41,3.55,1.25,72.81,0.68,8.1,0,0,'build wind non-float'
1.51609,15.01,0,2.51,73.05,0.05,8.83,0.53,0,headlamps
1.51667,12.94,3.61,1.26,72.75,0.56,8.6,0,0,'build wind non-float'
1.51588,13.12,3.41,1.58,73.26,0.07,8.39,0,0.19,'build wind non-float'
1.52667,13.99,3.7,0.71,71.57,0.02,9.82,0,0.1,'build wind float'
1.51831,14.39,0,1.82,72.86,1.41,6.47,2.88,0,headlamps
1.51918,14.04,3.58,1.37,72.08,0.56,8.3,0,0,'build wind float'
1.51613,13.88,1.78,1.79,73.1,0,8.67,0.76,0,headlamps
1.52196,14.36,3.85,0.89,71.36,0.15,9.15,0,0,'build wind float'
1.51824,12.87,3.48,1.29,72.95,0.6,8.43,0,0,'build wind float'
1.52151,11.03,1.71,1.56,73.44,0.58,11.62,0,0,containers
1.51969,14.56,0,0.56,73.48,0,11.22,0,0,tableware
1.51618,13.01,3.5,1.48,72.89,0.6,8.12,0,0,'build wind non-float'
1.51645,13.4,3.49,1.52,72.65,0.67,8.08,0,0.1,'build wind non-float'
1.51796,13.5,3.36,1.63,71.94,0.57,8.81,0,0.09,'vehic wind float'
1.52222,14.43,0,1,72.67,0.1,11.52,0,0.08,'build wind non-float'
1.51783,12.69,3.54,1.34,72.95,0.57,8.75,0,0,'build wind float'
1.51711,14.23,0,2.08,73.36,0,8.62,1.67,0,headlamps
1.51736,12.78,3.62,1.29,72.79,0.59,8.7,0,0,'build wind float'
1.51808,13.43,2.87,1.19,72.84,0.55,9.03,0,0,'build wind float'
1.5167,13.24,3.57,1.38,72.7,0.56,8.44,0,0.1,'vehic wind float'
1.52043,13.38,0,1.4,72.25,0.33,12.5,0,0,containers
1.519,13.49,3.48,1.35,71.95,0.55,9,0,0,'build wind float'
1.51778,13.21,2.81,1.29,72.98,0.51,9.02,0,0.09,'build wind float'
1.51905,14,2.39,1.56,72.37,0,9.57,0,0,tableware
1.51531,14.38,0,2.66,73.1,0.04,9.08,0.64,0,headlamps
1.51916,14.15,0,2.09,72.74,0,10.88,0,0,tableware
1.51841,13.02,3.62,1.06,72.34,0.64,9.13,0,0.15,'build wind non-float'
1.5159,13.02,3.58,1.51,73.12,0.69,7.96,0,0,'build wind non-float'
1.51593,13.25,3.45,1.43,73.17,0.61,7.86,0,0,'build wind non-float'
1.5164,12.55,3.48,1.87,73.23,0.63,8.08,0,0.09,'build wind non-float'
1.51663,12.93,3.54,1.62,72.96,0.64,8.03,0,0.21,'build wind non-float'
1.5169,13.33,3.54,1.61,72.54,0.68,8.11,0,0,'build wind non-float'
1.51869,13.19,3.37,1.18,72.72,0.57,8.83,0,0.16,'build wind float'
1.51776,13.53,3.41,1.52,72.04,0.58,8.79,0,0,'vehic wind float'
1.51775,12.85,3.48,1.23,72.97,0.61,8.56,0.09,0.22,'build wind float'
1.5186,13.36,3.43,1.43,72.26,0.51,8.6,0,0,'build wind non-float'
1.5172,13.38,3.5,1.15,72.85,0.5,8.43,0,0,'build wind float'
1.51623,14.2,0,2.79,73.46,0.04,9.04,0.4,0.09,headlamps
1.51618,13.53,3.55,1.54,72.99,0.39,7.78,0,0,'build wind float'
1.51761,12.81,3.54,1.23,73.24,0.58,8.39,0,0,'build wind float'
1.5161,13.42,3.4,1.22,72.69,0.59,8.32,0,0,'vehic wind float'
1.51592,12.86,3.52,2.12,72.66,0.69,7.97,0,0,'build wind non-float'
1.51613,13.92,3.52,1.25,72.88,0.37,7.94,0,0.14,'build wind non-float'
1.51689,12.67,2.88,1.71,73.21,0.73,8.54,0,0,'build wind non-float'
1.51852,14.09,2.19,1.66,72.67,0,9.32,0,0,tableware

5
data/iris.net Normal file
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class sepallength
class sepalwidth
class petallength
class petalwidth
petalwidth petallength

10177
data/kdd_JapaneseVowels.arff Executable file
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20191
data/letter.arff Executable file
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399
data/liver-disorders.arff Executable file
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@@ -0,0 +1,399 @@
% 1. Title: BUPA liver disorders
%
% 2. Source information:
% -- Creators: BUPA Medical Research Ltd.
% -- Donor: Richard S. Forsyth
% 8 Grosvenor Avenue
% Mapperley Park
% Nottingham NG3 5DX
% 0602-621676
% -- Date: 5/15/1990
%
% 3. Past usage:
% -- None known other than what is shown in the PC/BEAGLE User's Guide
% (written by Richard S. Forsyth).
%
% 4. Relevant information:
% -- The first 5 variables are all blood tests which are thought
% to be sensitive to liver disorders that might arise from
% excessive alcohol consumption. Each line in the bupa.data file
% constitutes the record of a single male individual.
% -- It appears that drinks>5 is some sort of a selector on this database.
% See the PC/BEAGLE User's Guide for more information.
%
% 5. Number of instances: 345
%
% 6. Number of attributes: 7 overall
%
% 7. Attribute information:
% 1. mcv mean corpuscular volume
% 2. alkphos alkaline phosphotase
% 3. sgpt alamine aminotransferase
% 4. sgot aspartate aminotransferase
% 5. gammagt gamma-glutamyl transpeptidase
% 6. drinks number of half-pint equivalents of alcoholic beverages
% drunk per day
% 7. selector field used to split data into two sets
%
% 8. Missing values: none%
% Information about the dataset
% CLASSTYPE: nominal
% CLASSINDEX: last
%
@relation liver-disorders
@attribute mcv INTEGER
@attribute alkphos INTEGER
@attribute sgpt INTEGER
@attribute sgot INTEGER
@attribute gammagt INTEGER
@attribute drinks REAL
@attribute selector {1,2}
@data
85,92,45,27,31,0.0,1
85,64,59,32,23,0.0,2
86,54,33,16,54,0.0,2
91,78,34,24,36,0.0,2
87,70,12,28,10,0.0,2
98,55,13,17,17,0.0,2
88,62,20,17,9,0.5,1
88,67,21,11,11,0.5,1
92,54,22,20,7,0.5,1
90,60,25,19,5,0.5,1
89,52,13,24,15,0.5,1
82,62,17,17,15,0.5,1
90,64,61,32,13,0.5,1
86,77,25,19,18,0.5,1
96,67,29,20,11,0.5,1
91,78,20,31,18,0.5,1
89,67,23,16,10,0.5,1
89,79,17,17,16,0.5,1
91,107,20,20,56,0.5,1
94,116,11,33,11,0.5,1
92,59,35,13,19,0.5,1
93,23,35,20,20,0.5,1
90,60,23,27,5,0.5,1
96,68,18,19,19,0.5,1
84,80,47,33,97,0.5,1
92,70,24,13,26,0.5,1
90,47,28,15,18,0.5,1
88,66,20,21,10,0.5,1
91,102,17,13,19,0.5,1
87,41,31,19,16,0.5,1
86,79,28,16,17,0.5,1
91,57,31,23,42,0.5,1
93,77,32,18,29,0.5,1
88,96,28,21,40,0.5,1
94,65,22,18,11,0.5,1
91,72,155,68,82,0.5,2
85,54,47,33,22,0.5,2
79,39,14,19,9,0.5,2
85,85,25,26,30,0.5,2
89,63,24,20,38,0.5,2
84,92,68,37,44,0.5,2
89,68,26,39,42,0.5,2
89,101,18,25,13,0.5,2
86,84,18,14,16,0.5,2
85,65,25,14,18,0.5,2
88,61,19,21,13,0.5,2
92,56,14,16,10,0.5,2
95,50,29,25,50,0.5,2
91,75,24,22,11,0.5,2
83,40,29,25,38,0.5,2
89,74,19,23,16,0.5,2
85,64,24,22,11,0.5,2
92,57,64,36,90,0.5,2
94,48,11,23,43,0.5,2
87,52,21,19,30,0.5,2
85,65,23,29,15,0.5,2
84,82,21,21,19,0.5,2
88,49,20,22,19,0.5,2
96,67,26,26,36,0.5,2
90,63,24,24,24,0.5,2
90,45,33,34,27,0.5,2
90,72,14,15,18,0.5,2
91,55,4,8,13,0.5,2
91,52,15,22,11,0.5,2
87,71,32,19,27,1.0,1
89,77,26,20,19,1.0,1
89,67,5,17,14,1.0,2
85,51,26,24,23,1.0,2
103,75,19,30,13,1.0,2
90,63,16,21,14,1.0,2
90,63,29,23,57,2.0,1
90,67,35,19,35,2.0,1
87,66,27,22,9,2.0,1
90,73,34,21,22,2.0,1
86,54,20,21,16,2.0,1
90,80,19,14,42,2.0,1
87,90,43,28,156,2.0,2
96,72,28,19,30,2.0,2
91,55,9,25,16,2.0,2
95,78,27,25,30,2.0,2
92,101,34,30,64,2.0,2
89,51,41,22,48,2.0,2
91,99,42,33,16,2.0,2
94,58,21,18,26,2.0,2
92,60,30,27,297,2.0,2
94,58,21,18,26,2.0,2
88,47,33,26,29,2.0,2
92,65,17,25,9,2.0,2
92,79,22,20,11,3.0,1
84,83,20,25,7,3.0,1
88,68,27,21,26,3.0,1
86,48,20,20,6,3.0,1
99,69,45,32,30,3.0,1
88,66,23,12,15,3.0,1
89,62,42,30,20,3.0,1
90,51,23,17,27,3.0,1
81,61,32,37,53,3.0,2
89,89,23,18,104,3.0,2
89,65,26,18,36,3.0,2
92,75,26,26,24,3.0,2
85,59,25,20,25,3.0,2
92,61,18,13,81,3.0,2
89,63,22,27,10,4.0,1
90,84,18,23,13,4.0,1
88,95,25,19,14,4.0,1
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79,101,17,27,23,4.0,2
90,134,14,20,14,4.0,2
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88,37,9,15,16,6.0,2
100,60,29,23,76,6.0,2
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92,76,31,28,41,6.0,2
88,55,19,17,14,6.0,2
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92,94,18,17,6,8.0,1
90,67,77,39,114,8.0,1
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91,69,25,25,66,8.0,2
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92,95,85,48,200,8.0,2
90,50,26,22,53,8.0,2
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86,66,22,24,26,10.0,2
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92,108,53,33,94,12.0,2
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90,87,19,25,19,0.5,1
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92,67,23,15,12,0.5,1
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94,101,41,20,53,0.5,2
88,46,29,22,18,0.5,2
88,122,35,29,42,0.5,2
84,88,28,25,35,0.5,2
90,79,18,15,24,0.5,2
87,69,22,26,11,0.5,2
65,63,19,20,14,0.5,2
90,64,12,17,14,0.5,2
85,58,18,24,16,0.5,2
88,81,41,27,36,0.5,2
86,78,52,29,62,0.5,2
82,74,38,28,48,0.5,2
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87,57,30,30,22,0.5,2
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83,68,17,20,71,0.5,2
93,56,25,21,33,0.5,2
101,65,18,21,22,0.5,2
92,65,25,20,31,0.5,2
92,58,14,16,13,0.5,2
86,58,16,23,23,0.5,2
85,62,15,13,22,0.5,2
86,57,13,20,13,0.5,2
86,54,26,30,13,0.5,2
81,41,33,27,34,1.0,1
91,67,32,26,13,1.0,1
91,80,21,19,14,1.0,1
92,60,23,15,19,1.0,1
91,60,32,14,8,1.0,1
93,65,28,22,10,1.0,1
90,63,45,24,85,1.0,2
87,92,21,22,37,1.0,2
83,78,31,19,115,1.0,2
95,62,24,23,14,1.0,2
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91,44,18,18,23,2.0,2
87,75,37,19,70,2.0,2
94,91,30,26,25,2.0,2
88,85,14,15,10,2.0,2
89,109,26,25,27,2.0,2
87,59,37,27,34,2.0,2
93,58,20,23,18,2.0,2
88,57,9,15,16,2.0,2
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91,71,12,22,11,3.0,1
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88,47,35,26,33,3.0,2
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85,58,83,49,51,3.0,2
91,54,25,22,35,4.0,1
98,50,27,25,53,4.0,2
86,62,29,21,26,4.0,2
89,48,32,22,14,4.0,2
82,68,20,22,9,4.0,2
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96,70,21,26,21,4.0,2
94,117,77,56,52,4.0,2
93,45,11,14,21,4.0,2
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91,63,17,17,46,4.0,2
90,57,31,18,37,4.0,2
87,45,19,13,16,4.0,2
91,68,14,20,19,4.0,2
86,55,29,35,108,4.0,2
91,86,52,47,52,4.0,2
88,46,15,33,55,4.0,2
85,52,22,23,34,4.0,2
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95,59,23,18,19,4.0,2
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90,52,10,17,12,5.0,2
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99,42,14,21,49,5.0,2
93,102,47,23,37,5.0,2
94,71,25,26,31,5.0,2
92,73,33,34,115,5.0,2
87,54,41,29,23,6.0,1
92,67,15,14,14,6.0,1
98,101,31,26,32,6.0,1
92,53,51,33,92,6.0,1
97,94,43,43,82,6.0,1
93,43,11,16,54,6.0,1
93,68,24,18,19,6.0,1
95,36,38,19,15,6.0,1
99,86,58,42,203,6.0,1
98,66,103,57,114,6.0,1
92,80,10,26,20,6.0,1
96,74,27,25,43,6.0,2
95,93,21,27,47,6.0,2
86,109,16,22,28,6.0,2
91,46,30,24,39,7.0,2
102,82,34,78,203,7.0,2
85,50,12,18,14,7.0,2
91,57,33,23,12,8.0,1
91,52,76,32,24,8.0,1
93,70,46,30,33,8.0,1
87,55,36,19,25,8.0,1
98,123,28,24,31,8.0,1
82,55,18,23,44,8.0,2
95,73,20,25,225,8.0,2
97,80,17,20,53,8.0,2
100,83,25,24,28,8.0,2
88,91,56,35,126,9.0,2
91,138,45,21,48,10.0,1
92,41,37,22,37,10.0,1
86,123,20,25,23,10.0,2
91,93,35,34,37,10.0,2
87,87,15,23,11,10.0,2
87,56,52,43,55,10.0,2
99,75,26,24,41,12.0,1
96,69,53,43,203,12.0,2
98,77,55,35,89,15.0,1
91,68,27,26,14,16.0,1
98,99,57,45,65,20.0,1

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data/mfeat-factors.arff Executable file
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