% Datasets for `Pattern Recognition and Neural Networks' by B.D. Ripley
% =====================================================================
% 
% Cambridge University Press (1996)  ISBN  0-521-46086-7
% 
% The background to the datasets is described in section 1.4; this file
% relates the computer-readable files to that description.
% 
% 
% 
% Cushing's syndrome
% ------------------
% 
% Data from Aitchison & Dunsmore (1975, Tables 11.1-3).
% 
% Data file Cushings.dat has four columns, 
% 
% Label of the patient
% Tetrhydrocortisone  (mg/24hr)
% Pregnanetriol  (mg/24hr)
% Type
% 
% The type of the last six patients (u1 to u6) should be
% regarded as unknown.  (The code `o' indicates `other').
% 
% 
% 
% synthetic two-class problem
% ---------------------------
% 
% Data from Ripley (1994a).
% 
% This has two real-valued co-ordinates (xs and ys) and a class (xc)
% which is 0 or 1.
% 
% Data file  synth.tr   has 250 rows of the training set
%            synth.te   has 1000 rows of the test set  (not used here)
% 
% 
% 
% viruses
% -------
% 
% This is a dataset on 61 viruses with rod-shaped particles affecting
% various crops (tobacco, tomato, cucumber and others) described by
% {Fauquet et al. (1988) and analysed by Eslava-G\'omez (1989).  There
% are 18 measurements on each virus,  the number of amino acid residues
% per molecule of coat protein.
% 
% Data file  viruses.dat  has 61 rows of 18 counts
% 	   virus3.dat   has 38 rows corresponding to the distinct
% 	   		Tobamoviruses.
% 
% The whole dataset is in order Hordeviruses (3), Tobraviruses (6),
% Tobamoviruses (39) and `furoviruses' (13).
% 
% 
% 
% Leptograpsus crabs
% ------------------
% 
% Data from Campbell & Mahon (1974) on the morphology of rock crabs of
% genus Leptograpsus.
% 
% There are 50 specimens of each sex of each of two colour forms.
% 
% Data file  crabs.dat has rows
% 
% sp	`species', coded B (blue form) or O (orange form)
% sex	coded M or F
% index	within each group of 50
% FL	frontal lip of carapace (mm)
% RW	rear width of carapace (mm)
% CL	length along the midline of carapace (mm)
% CW	maximum width of carapace (mm)
% BD	body depth (mm)
% 
% 
% 
% Forensic glass
% --------------
% 
% This example comes from forensic testing of glass collected by
% B. German on 214 fragments of glass.  It is also contained in the
% UCI machine-learning database collection (Murphy & Aha, 1995).
% 
% Data file fglass.dat has 214 rows with data for a single glass
% fragment.
% 
% RI	refractive index
% Na	% weight of sodium oxide(s)
% Mg	% weight of magnesium oxide(s)
% Al	% weight of aluminium oxide(s)
% Si	% weight of silicon oxide(s)
% K	% weight of potassium oxide(s)
% Ca	% weight of calcium oxide(s)
% Ba	% weight of barium oxide(s)
% Fe	% weight of iron oxide(s)
% type	coded 1 to 7
% 
% The type codes are:
% 
% 	1 (WinF) window float glass
% 	2 (WinNF) window non-float glass
% 	3 (Veh) vehicle glass
% 	5 (Con)  containers
% 	6 (Tabl) tableware
% 	7 (Head) vehicle headlamp glass
% 
% The ten groups used for the cross-validation experiments (I believe)
% are listed as row numbers in the file fglass.grp,
% 
% 
% 
% Diabetes in Pima Indians
% ------------------------
% 
% A population of women who were at least 21 years old, of Pima Indian heritage
% and living near Phoenix, Arizona,  was tested for diabetes
% according to World Health Organization criteria.  The data
% were collected by the US National Institute of Diabetes and Digestive and
% Kidney Diseases (Smith et al, 1988). This example is also contained in the
% UCI machine-learning database collection (Murphy & Aha, 1995).
% 
% The data files have rows containing
% 
% npreg 	number of pregnancies
% glu 	plasma glucose concentration in an oral glucose tolerance test
% bp 	diastolic blood pressure (mm Hg)
% skin 	triceps skin fold thickness (mm)
% ins	serum insulin (micro U/ml)
% bmi 	body mass index (weight in kg/(height in m)^2)
% ped 	diabetes pedigree function
% age 	in years
% type	No / Yes
% 
% Data file pima.tr   has 200 rows of complete training data.
%           pima.te   has 332 rows of complete test data.
%           pima.tr2  has the 200 rows of pima.tr plus 100 incomplete rows.
% 
%
% Note: there were no column information in the data, hence the names
%       were generated automatically
%
%
% Information about the dataset
% CLASSTYPE: nominal
% CLASSINDEX: none specific
%

@relation prnn-viruses

@attribute col_1 INTEGER
@attribute col_2 INTEGER
@attribute col_3 INTEGER
@attribute col_4 INTEGER
@attribute col_5 INTEGER
@attribute col_6 INTEGER
@attribute col_7 INTEGER
@attribute col_8 {0,1,2,3}
@attribute col_9 INTEGER
@attribute col_10 {0,1,2,3,4,7}
@attribute col_11 {3,4,5,6,7,8,9,10,11}
@attribute col_12 {11,12,13,14,15,16,17,18,19,21}
@attribute col_13 {4,5,6,7,8,9,12,15}
@attribute col_14 {4,5,6,7,8,9,10,11,12,14}
@attribute col_15 {0,1,2,3,4,5,6}
@attribute col_16 INTEGER
@attribute col_17 INTEGER
@attribute col_18 {0,1,2,3,4,5}
@attribute virus_type {Hordevirus,Tobravirus,Tobamovirus,Furovirus}

@data
25,9,9,19,12,8,20,0,10,0,6,21,8,7,4,7,17,5,Hordevirus
26,9,9,20,13,8,20,0,10,0,6,21,8,7,4,7,17,5,Hordevirus
25,9,9,22,10,10,23,0,13,0,6,19,5,6,4,8,16,5,Hordevirus
15,10,21,13,18,12,22,1,9,2,4,11,5,10,1,14,8,2,Tobravirus
17,11,22,15,14,10,23,1,11,2,4,11,5,9,1,13,9,1,Tobravirus
22,17,17,16,10,15,13,1,7,2,3,14,9,9,2,12,6,2,Tobravirus
21,18,18,15,11,15,16,1,7,2,3,14,6,8,2,12,7,2,Tobravirus
20,9,16,15,16,6,19,1,7,3,4,14,4,11,1,16,11,3,Tobravirus
22,10,17,18,13,6,21,1,8,3,4,13,4,11,1,15,10,3,Tobravirus
17,13,14,16,4,9,14,1,13,0,11,13,5,7,1,4,11,5,Tobamovirus
12,11,9,12,6,5,12,1,9,1,7,12,5,6,0,4,8,2,Tobamovirus
18,16,16,16,8,6,14,1,14,0,9,12,4,8,0,2,11,3,Tobamovirus
18,16,15,19,8,6,11,1,15,1,7,13,5,8,0,2,9,3,Tobamovirus
17,13,13,22,8,4,18,1,10,3,8,11,7,6,1,2,10,2,Tobamovirus
16,13,16,21,9,3,17,1,10,4,7,12,7,5,1,2,11,3,Tobamovirus
22,19,10,16,10,4,18,1,12,2,8,11,6,8,0,1,8,2,Tobamovirus
20,10,24,10,6,9,21,0,7,0,7,18,4,9,1,4,8,2,Tobamovirus
20,21,12,15,9,7,11,1,9,3,8,14,6,7,0,1,10,3,Tobamovirus
20,21,12,15,9,7,11,1,9,3,9,14,5,7,0,1,10,3,Tobamovirus
18,11,24,10,9,6,19,0,12,0,7,14,4,11,0,4,9,1,Tobamovirus
20,12,23,10,8,5,20,0,13,0,6,13,4,11,0,4,10,1,Tobamovirus
18,19,18,16,8,4,12,0,12,0,10,15,8,6,1,1,12,1,Tobamovirus
17,16,17,15,8,6,14,1,14,0,9,12,4,8,0,3,11,3,Tobamovirus
19,17,14,16,8,6,14,1,14,0,8,12,4,8,0,2,12,3,Tobamovirus
19,17,15,16,8,5,14,1,14,0,8,12,4,8,0,2,12,3,Tobamovirus
19,15,16,16,8,6,14,1,15,0,8,12,4,8,0,2,12,3,Tobamovirus
17,17,16,19,8,6,11,1,15,1,7,13,5,8,0,2,9,3,Tobamovirus
18,17,15,19,8,6,11,1,15,1,7,13,5,8,0,2,9,3,Tobamovirus
22,19,10,16,10,4,18,1,12,2,8,11,6,8,0,1,8,2,Tobamovirus
22,19,10,16,10,5,17,1,12,2,8,11,6,8,0,1,8,2,Tobamovirus
18,20,10,18,6,8,17,1,14,1,5,16,4,7,0,2,9,2,Tobamovirus
18,16,16,15,8,6,13,1,14,1,8,12,4,8,1,2,12,3,Tobamovirus
20,21,12,15,9,7,11,1,10,3,8,14,7,7,0,1,9,3,Tobamovirus
20,21,12,15,9,7,11,1,10,3,9,14,5,7,0,1,10,3,Tobamovirus
18,12,23,10,9,5,20,0,14,0,7,12,4,11,0,4,10,1,Tobamovirus
18,12,21,10,10,5,18,0,13,0,8,12,4,12,0,4,10,1,Tobamovirus
17,12,22,10,8,5,18,0,14,0,5,13,4,10,0,3,9,1,Tobamovirus
17,16,16,16,8,6,15,1,14,0,9,12,4,8,0,2,11,3,Tobamovirus
19,17,15,17,7,6,15,1,14,0,8,12,4,8,0,2,10,3,Tobamovirus
18,16,16,19,8,6,11,1,15,1,7,13,5,8,0,2,9,3,Tobamovirus
18,17,15,17,8,6,15,1,14,0,8,12,4,8,0,3,9,3,Tobamovirus
15,12,14,23,8,3,17,1,9,4,7,15,6,6,1,2,11,2,Tobamovirus
13,11,14,22,7,3,17,1,10,4,8,13,6,6,1,3,11,2,Tobamovirus
16,11,15,23,10,4,18,1,10,3,7,12,6,5,1,2,9,3,Tobamovirus
14,11,14,25,11,3,19,2,10,2,7,12,6,5,1,2,9,3,Tobamovirus
11,11,15,24,10,5,18,1,11,1,7,14,5,7,2,3,11,2,Tobamovirus
15,9,12,21,8,4,21,1,10,3,7,15,7,6,1,3,10,3,Tobamovirus
15,11,15,22,7,3,19,1,8,3,4,14,6,5,1,2,10,2,Tobamovirus
27,8,13,25,12,26,21,1,20,0,11,18,5,7,5,7,19,3,Furovirus
27,8,13,25,13,27,21,1,19,0,11,18,6,8,5,7,19,3,Furovirus
27,7,12,25,12,26,21,1,20,0,11,17,6,8,5,7,19,3,Furovirus
26,8,13,25,13,26,21,1,19,0,11,18,6,8,5,8,19,3,Furovirus
28,6,13,24,12,30,22,1,18,0,11,18,6,8,4,7,19,3,Furovirus
27,8,14,25,13,26,21,1,18,0,11,18,6,8,5,7,19,3,Furovirus
24,15,18,14,10,14,19,1,14,7,5,19,4,6,2,12,10,4,Furovirus
25,14,15,15,9,12,14,0,8,3,6,12,4,14,1,10,8,0,Furovirus
29,11,12,23,9,15,23,0,16,1,10,13,5,8,3,6,23,5,Furovirus
28,15,22,21,7,32,21,1,13,2,8,16,12,5,5,8,9,1,Furovirus
29,14,22,20,9,20,20,2,15,2,9,16,7,6,6,10,13,2,Furovirus
29,16,18,18,8,32,22,1,14,2,9,18,15,4,4,8,9,1,Furovirus
31,14,21,20,9,21,20,3,15,2,8,17,6,7,6,10,13,1,Furovirus