| |
Indian Liver Patient (M vs F) data
The data set (and description) can be downloaded here:
http://archive.ics.uci.edu/ml/machine-learning-databases/00225/
Description:
ILPD (Indian Liver Patient Dataset) Data Set
Download: Data Folder, Data Set Description
Abstract: This data set contains 10 variables that are age, gender, total
Bilirubin, direct Bilirubin, total proteins, albumin, A/G ratio, SGPT, SGOT
and Alkphos.
Data Set Characteristics: Multivariate
Number of Instances: 583
Area: Life
Attribute Characteristics: Integer, Real
Number of Attributes: 10
Date Donated: 2012-05-21
Associated Tasks: Classification
Missing Values? N/A
Number of Web Hits: 9021
Source:
1. Bendi Venkata Ramana
ramana.bendi '@' gmail.com
Associate Professor,
Department of Information Technology,
Aditya Instutute of Technology and Management,
Tekkali - 532201, Andhra Pradesh, India.
2. Prof. M. Surendra Prasad Babu
drmsprasadbabu '@' yahoo.co.in
Deptartment of Computer Science & Systems Engineering,
Andhra University College of Engineering,
Visakhapatnam-530 003 Andhra Pradesh, India.
3.Prof. N. B. Venkateswarlu
venkat_ritch '@' yahoo.com
Department of Computer Science and Engineering,
Aditya Instutute of Technology and Management,
Tekkali - 532201, Andhra Pradesh, India.
Data Set Information:
This data set contains 416 liver patient records and 167 non liver patient
records.The data set was collected from north east of Andhra Pradesh, India.
Selector is a class label used to divide into groups(liver patient or not).
This data set contains 441 male patient records and 142 female patient records.
Attribute Information:
1. Age Age of the patient
2. Gender Gender of the patient
3. TB Total Bilirubin
4. DB Direct Bilirubin
5. Alkphos Alkaline Phosphotase
6. Sgpt Alamine Aminotransferase
7. Sgot Aspartate Aminotransferase
8. TP Total Protiens
9. ALB Albumin
10. A/G Ratio Albumin and Globulin Ratio
11. Selector field used to split the data into two sets (labeled by the experts)
Relevant Papers:
1. Bendi Venkata Ramana, Prof. M. S. Prasad Babu and Prof. N. B. Venkateswarlu,
"A Critical Comparative Study of Liver Patients from USA and INDIA: An
Exploratory Analysis", International Journal of Computer Science Issues,
ISSN :1694-0784, May 2012.
2. Bendi Venkata Ramana, Prof. M. S. Prasad Babu and Prof. N. B. Venkateswarlu,
"A Critical Study of Selected Classification Algorithms for Liver Disease
Diagnosis", International Journal of Database Management Systems (IJDMS),
Vol.3, No.2, ISSN : 0975-5705, PP 101-114, May 2011.
Citation Request:
Please refer to the repository http://archive.ics.uci.edu/ml (see citation policy).
See also Frank, A. & Asuncion, A. (2010). UCI Machine Learning Repository
[http://archive.ics.uci.edu/ml].
Irvine, CA: University of California, School of Information and Computer Science.
Descriptive statistics:
Dataset= indian-liver-patient_MvsF : n= 579 , d= 9
Class1: n= 140
Covariance matrix:
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
[1,] 255.9175 -1.9613 -0.3324 286.2983 -253.6986 -312.0082 -2.9108 -2.7232 -0.9018
[2,] -1.9613 23.9567 11.6929 687.7127 202.0021 321.0804 -0.0349 -0.7528 -0.3937
[3,] -0.3324 11.6929 5.8276 345.5201 95.8396 146.9640 -0.0100 -0.3429 -0.1833
[4,] 286.2983 687.7127 345.5201 91291.8485 12676.2857 17484.3017 -3.9100 -35.2282 -20.9885
[5,] -253.6986 202.0021 95.8396 12676.2857 8947.4189 11469.2132 -9.5502 -13.6050 -5.8988
[6,] -312.0082 321.0804 146.9640 17484.3017 11469.2132 16529.2243 -18.1825 -24.3777 -9.4784
[7,] -2.9108 -0.0349 -0.0100 -3.9100 -9.5502 -18.1825 1.2899 0.8195 0.1380
[8,] -2.7232 -0.7528 -0.3429 -35.2282 -13.6050 -24.3777 0.8195 0.6906 0.1865
[9,] -0.9018 -0.3937 -0.1833 -20.9885 -5.8988 -9.4784 0.1380 0.1865 0.0830
Correlation matrix:
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
[1,] 1.0000 -0.0250 -0.0086 0.0592 -0.1677 -0.1517 -0.1602 -0.2048 -0.1957
[2,] -0.0250 1.0000 0.9896 0.4650 0.4363 0.5102 -0.0063 -0.1851 -0.2792
[3,] -0.0086 0.9896 1.0000 0.4737 0.4197 0.4735 -0.0036 -0.1709 -0.2636
[4,] 0.0592 0.4650 0.4737 1.0000 0.4435 0.4501 -0.0114 -0.1403 -0.2411
[5,] -0.1677 0.4363 0.4197 0.4435 1.0000 0.9431 -0.0889 -0.1731 -0.2165
[6,] -0.1517 0.5102 0.4735 0.4501 0.9431 1.0000 -0.1245 -0.2282 -0.2559
[7,] -0.1602 -0.0063 -0.0036 -0.0114 -0.0889 -0.1245 1.0000 0.8683 0.4217
[8,] -0.2048 -0.1851 -0.1709 -0.1403 -0.1731 -0.2282 0.8683 1.0000 0.7789
[9,] -0.1957 -0.2792 -0.2636 -0.2411 -0.2165 -0.2559 0.4217 0.7789 1.0000
Median: 43.793 1.0726 0.3526 197.3145 28.1935 30.8487 6.8497 3.422 0.986
Mean: 43.1786 2.345 1 304.0214 54.7643 69.6857 6.6643 3.2729 0.949
MCD-estimated:
MDC-0.975-Mean: 43.5375 0.7888 0.1963 184.2125 23.5125 25.3125 6.705 3.3475 0.9726
MDC-0.750-Mean: 43.5375 0.7888 0.1963 184.2125 23.5125 25.3125 6.705 3.3475 0.9726
MDC-0.500-Mean: 43.7722 0.7873 0.1949 184.5316 23.5063 25.3165 6.7025 3.3342 0.9634
Class2: n= 439
Covariance matrix:
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
[1,] 264.9568 1.4329 0.1804 328.9621 -281.6045 -55.7124 -3.2772 -3.5382 -1.1931
[2,] 1.4329 43.1816 16.3286 198.7516 246.3372 446.7653 0.0153 -1.1561 -0.4160
[3,] 0.1804 16.3286 8.5159 104.8222 122.8532 221.7668 0.0413 -0.5376 -0.1791
[4,] 328.9621 198.7516 104.8222 49244.7423 3464.3167 10187.4578 -9.1676 -31.2645 -17.4034
[5,] -281.6045 246.3372 122.8532 3464.3167 41149.1582 51390.7914 -6.0655 0.3071 1.7100
[6,] -55.7124 446.7653 221.7668 10187.4578 51390.7914 104921.6384 -1.7780 -15.7599 -5.5206
[7,] -3.2772 0.0153 0.0413 -9.1676 -6.0655 -1.7780 1.1291 0.6201 0.0635
[8,] -3.5382 -1.1561 -0.5376 -31.2645 0.3071 -15.7599 0.6201 0.6061 0.1718
[9,] -1.1931 -0.4160 -0.1791 -17.4034 1.7100 -5.5206 0.0635 0.1718 0.1084
Correlation matrix:
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
[1,] 1.0000 0.0134 0.0038 0.0911 -0.0853 -0.0106 -0.1895 -0.2792 -0.2226
[2,] 0.0134 1.0000 0.8515 0.1363 0.1848 0.2099 0.0022 -0.2260 -0.1922
[3,] 0.0038 0.8515 1.0000 0.1619 0.2075 0.2346 0.0133 -0.2366 -0.1864
[4,] 0.0911 0.1363 0.1619 1.0000 0.0770 0.1417 -0.0389 -0.1810 -0.2381
[5,] -0.0853 0.1848 0.2075 0.0770 1.0000 0.7821 -0.0281 0.0019 0.0256
[6,] -0.0106 0.2099 0.2346 0.1417 0.7821 1.0000 -0.0052 -0.0625 -0.0518
[7,] -0.1895 0.0022 0.0133 -0.0389 -0.0281 -0.0052 1.0000 0.7496 0.1815
[8,] -0.2792 -0.2260 -0.2366 -0.1810 0.0019 -0.0625 0.7496 1.0000 0.6700
[9,] -0.2226 -0.1922 -0.1864 -0.2381 0.0256 -0.0518 0.1815 0.6700 1.0000
Median: 45.7294 2.2862 1.006 217.5623 42.7393 53.4339 6.4097 3.1647 0.9788
Mean: 45.2938 3.6248 1.6517 287.3303 89.533 123.4032 6.4235 3.0957 0.9464
MCD-estimated:
MDC-0.975-Mean: 44.9456 1.1075 0.387 202.8912 32.9331 36.523 6.531 3.3067 1.0134
MDC-0.750-Mean: 44.7573 1.1029 0.3854 201.9833 33.0795 36.5607 6.5301 3.3033 1.0117
MDC-0.500-Mean: 45.0126 1.0975 0.3798 201.9034 33.2941 36.4916 6.5315 3.3109 1.0155
Measures:
Mah.Dist: 0.4299
Mah.Dist-MCD-0.975: 0.8832
Mah.Dist-MCD-0.750: 0.8924
Mah.Dist-MCD-0.500: 0.8864
Zuletzt geändert am 17.02.2013
|
|
|
