国家的标志数据集，可用国旗的颜色来预测该国的宗教信仰

Data Set Information: This data file contains details of various nations and their flags. In this file the fields are separated by spaces (not commas). With this data you can try things like predicting the religion of a country from its size and the colours in its flag. 10 attributes are numeric-valued. The remainder are either Boolean- or nominal-valued. Attribute Information: 1. name: Name of the country concerned 2. landmass: 1=N.America, 2=S.America, 3=Europe, 4=Africa, 4=Asia, 6=Oceania 3. zone: Geographic quadrant, based on Greenwich and the Equator; 1=NE, 2=SE, 3=SW, 4=NW 4. area: in thousands of square km 5. population: in round millions 6. language: 1=English, 2=Spanish, 3=French, 4=German, 5=Slavic, 6=Other Indo-European, 7=Chinese, 8=Arabic, 9=Japanese/Turkish/Finnish/Magyar, 10=Others 7. religion: 0=Catholic, 1=Other Christian, 2=Muslim, 3=Buddhist, 4=Hindu, 5=Ethnic, 6=Marxist, 7=Others 8. bars: Number of vertical bars in the flag 9. stripes: Number of horizontal stripes in the flag 10. colours: Number of different colours in the flag 11. red: 0 if red absent, 1 if red present in the flag 12. green: same for green 13. blue: same for blue 14. gold: same for gold (also yellow) 15. white: same for white 16. black: same for black 17. orange: same for orange (also brown) 18. mainhue: predominant colour in the flag (tie-breaks decided by taking the topmost hue, if that fails then the most central hue, and if that fails the leftmost hue) 19. circles: Number of circles in the flag 20. crosses: Number of (upright) crosses 21. saltires: Number of diagonal crosses 22. quarters: Number of quartered sections 23. sunstars: Number of sun or star symbols 24. crescent: 1 if a crescent moon symbol present, else 0 25. triangle: 1 if any triangles present, 0 otherwise 26. icon: 1 if an inanimate image present (e.g., a boat), otherwise 0 27. animate: 1 if an animate image (e.g., an eagle, a tree, a human hand) present, 0 otherwise 28. text: 1 if any letters or writing on the flag (e.g., a motto or slogan), 0 otherwise 29. topleft: colour in the top-left corner (moving right to decide tie-breaks) 30. botright: Colour in the bottom-left corner (moving left to decide tie-breaks) Relevant Papers: Forsyth's PC/BEAGLE User's Guide. Papers That Cite This Data Set1: Ron Kohavi and George H. John and Richard Long and David Manley and Karl Pfleger. MLC++: A Machine Learning Library in C. ICTAI. 1994. [View Context]. George H. John and Ron Kohavi and Karl Pfleger. Irrelevant Features and the Subset Selection Problem. ICML. 1994. [View Context]. Wl/odzisl/aw Duch and Karol Grudzi nski and Grzegorz Stawski. SYMBOLIC FEATURES IN NEURAL NETWORKS. Department of Computer Methods, Nicolaus Copernicus University. [View Context]. Citation Request: Please refer to the Machine Learning Repository's citation policy Creators: Collected primarily from the "Collins Gem Guide to Flags": Collins Publishers (1986). Donor: Richard S. Forsyth 8 Grosvenor Avenue Mapperley Park Nottingham NG3 5DX 0602-621676