安裝WEKA－天天向上

Windows x64
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C:\Program Files\Weka-3-6
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changelogs:每個版本的紀錄html資料格式
data:ARFF(Attribute-Relation File Format)屬性關聯檔案格式
doc: 手冊
進去data資料夾, double-click任一個檔案即可以瀏覽該資料, 超方便
滑鼠雙擊breast-cancer.arff 乳癌資料庫
用notepad++開啟breast-cancer.arff
   1: % Citation Request:   2: %    This breast cancer domain was obtained from the University Medical Centre,   3: %    Institute of Oncology, Ljubljana, Yugoslavia.  Thanks go to M. Zwitter and    4: %    M. Soklic for providing the data.  Please include this citation if you plan   5: %    to use this database.   6: %    7: % 1. Title: Breast cancer data (Michalski has used this)   8: %    9: % 2. Sources:   10: %    -- Matjaz Zwitter & Milan Soklic (physicians)  11: %       Institute of Oncology   12: %       University Medical Center  13: %       Ljubljana, Yugoslavia  14: %    -- Donors: Ming Tan and Jeff Schlimmer (Jeffrey.Schlimmer@a.gp.cs.cmu.edu)  15: %    -- Date: 11 July 1988  16: %   17: % 3. Past Usage: (Several: here are some)  18: %      -- Michalski,R.S., Mozetic,I., Hong,J., & Lavrac,N. (1986). The   19: %         Multi-Purpose Incremental Learning System AQ15 and its Testing   20: %         Application to Three Medical Domains.  In Proceedings of the   21: %         Fifth National Conference on Artificial Intelligence, 1041-1045,  22: %         Philadelphia, PA: Morgan Kaufmann.  23: %         -- accuracy range: 66%-72%  24: %      -- Clark,P. & Niblett,T. (1987). Induction in Noisy Domains.  In   25: %         Progress in Machine Learning (from the Proceedings of the 2nd  26: %         European Working Session on Learning), 11-30, Bled,   27: %         Yugoslavia: Sigma Press.  28: %         -- 8 test results given: 65%-72% accuracy range  29: %      -- Tan, M., & Eshelman, L. (1988). Using weighted networks to   30: %         represent classification knowledge in noisy domains.  Proceedings   31: %         of the Fifth International Conference on Machine Learning, 121-134,  32: %         Ann Arbor, MI.  33: %         -- 4 systems tested: accuracy range was 68%-73.5%  34: %     -- Cestnik,G., Konenenko,I, & Bratko,I. (1987). Assistant-86: A  35: %        Knowledge-Elicitation Tool for Sophisticated Users.  In I.Bratko  36: %        & N.Lavrac (Eds.) Progress in Machine Learning, 31-45, Sigma Press.  37: %        -- Assistant-86: 78% accuracy  38: %   39: % 4. Relevant Information:  40: %      This is one of three domains provided by the Oncology Institute  41: %      that has repeatedly appeared in the machine learning literature.  42: %      (See also lymphography and primary-tumor.)  43: %   44: %      This data set includes 201 instances of one class and 85 instances of  45: %      another class.  The instances are described by 9 attributes, some of  46: %      which are linear and some are nominal.  47: %   48: % 5. Number of Instances: 286  49: %   50: % 6. Number of Attributes: 9 + the class attribute  51: %   52: % 7. Attribute Information:  53: %    1. Class: no-recurrence-events, recurrence-events  54: %    2. age: 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80-89, 90-99.  55: %    3. menopause: lt40, ge40, premeno.  56: %    4. tumor-size: 0-4, 5-9, 10-14, 15-19, 20-24, 25-29, 30-34, 35-39, 40-44,  57: %                   45-49, 50-54, 55-59.  58: %    5. inv-nodes: 0-2, 3-5, 6-8, 9-11, 12-14, 15-17, 18-20, 21-23, 24-26,  59: %                  27-29, 30-32, 33-35, 36-39.  60: %    6. node-caps: yes, no.  61: %    7. deg-malig: 1, 2, 3.  62: %    8. breast: left, right.  63: %    9. breast-quad: left-up, left-low, right-up, right-low, central.  64: %   10. irradiat: yes, no.  65: %   66: % 8. Missing Attribute Values: (denoted by "?")  67: %    Attribute #:  Number of instances with missing values:  68: %    6.             8  69: %    9.             1.  70: %   71: % 9. Class Distribution:  72: %     1. no-recurrence-events: 201 instances  73: %     2. recurrence-events: 85 instances  74: %  75: % Num Instances:     286  76: % Num Attributes:    10  77: % Num Continuous:    0 (Int 0 / Real 0)  78: % Num Discrete:      10  79: % Missing values:    9 /  0.3%  80: %  81: %     name                      type enum ints real     missing    distinct  (1)  82: %   1 'age'                     Enum 100%   0%   0%     0 /  0%     6 /  2%   0%   83: %   2 'menopause'               Enum 100%   0%   0%     0 /  0%     3 /  1%   0%   84: %   3 'tumor-size'              Enum 100%   0%   0%     0 /  0%    11 /  4%   0%   85: %   4 'inv-nodes'               Enum 100%   0%   0%     0 /  0%     7 /  2%   0%   86: %   5 'node-caps'               Enum  97%   0%   0%     8 /  3%     2 /  1%   0%   87: %   6 'deg-malig'               Enum 100%   0%   0%     0 /  0%     3 /  1%   0%   88: %   7 'breast'                  Enum 100%   0%   0%     0 /  0%     2 /  1%   0%   89: %   8 'breast-quad'             Enum 100%   0%   0%     1 /  0%     5 /  2%   0%   90: %   9 'irradiat'                Enum 100%   0%   0%     0 /  0%     2 /  1%   0%   91: %  10 'Class'                   Enum 100%   0%   0%     0 /  0%     2 /  1%   0%   92: %  93: %  94: @relation breast-cancer  95: @attribute age {'10-19','20-29','30-39','40-49','50-59','60-69','70-79','80-89','90-99'}  96: @attribute menopause {'lt40','ge40','premeno'}  97: @attribute tumor-size {'0-4','5-9','10-14','15-19','20-24','25-29','30-34','35-39','40-44','45-49','50-54','55-59'}  98: @attribute inv-nodes {'0-2','3-5','6-8','9-11','12-14','15-17','18-20','21-23','24-26','27-29','30-32','33-35','36-39'}  99: @attribute node-caps {'yes','no'} 100: @attribute deg-malig {'1','2','3'} 101: @attribute breast {'left','right'} 102: @attribute breast-quad {'left_up','left_low','right_up','right_low','central'} 103: @attribute 'irradiat' {'yes','no'} 104: @attribute 'Class' {'no-recurrence-events','recurrence-events'} 105: @data 106: '40-49','premeno','15-19','0-2','yes','3','right','left_up','no','recurrence-events' 107: '50-59','ge40','15-19','0-2','no','1','right','central','no','no-recurrence-events' 108: '50-59','ge40','35-39','0-2','no','2','left','left_low','no','recurrence-events' 109: '40-49','premeno','35-39','0-2','yes','3','right','left_low','yes','no-recurrence-events' 110: '40-49','premeno','30-34','3-5','yes','2','left','right_up','no','recurrence-events' 111: '50-59','premeno','25-29','3-5','no','2','right','left_up','yes','no-recurrence-events' 112: '50-59','ge40','40-44','0-2','no','3','left','left_up','no','no-recurrence-events' 113: '40-49','premeno','10-14','0-2','no','2','left','left_up','no','no-recurrence-events' 114: '40-49','premeno','0-4','0-2','no','2','right','right_low','no','no-recurrence-events' 115: '40-49','ge40','40-44','15-17','yes','2','right','left_up','yes','no-recurrence-events' 116: '50-59','premeno','25-29','0-2','no','2','left','left_low','no','no-recurrence-events' 117: '60-69','ge40','15-19','0-2','no','2','right','left_up','no','no-recurrence-events' 118: '50-59','ge40','30-34','0-2','no','1','right','central','no','no-recurrence-events' 119: '50-59','ge40','25-29','0-2','no','2','right','left_up','no','no-recurrence-events' 120: '40-49','premeno','25-29','0-2','no','2','left','left_low','yes','recurrence-events' 121: '30-39','premeno','20-24','0-2','no','3','left','central','no','no-recurrence-events' 122: '50-59','premeno','10-14','3-5','no','1','right','left_up','no','no-recurrence-events' 123: '60-69','ge40','15-19','0-2','no','2','right','left_up','no','no-recurrence-events' 124: '50-59','premeno','40-44','0-2','no','2','left','left_up','no','no-recurrence-events' 125: '50-59','ge40','20-24','0-2','no','3','left','left_up','no','no-recurrence-events' 126: '50-59','lt40','20-24','0-2',?,'1','left','left_low','no','recurrence-events' 127: '60-69','ge40','40-44','3-5','no','2','right','left_up','yes','no-recurrence-events' 128: '50-59','ge40','15-19','0-2','no','2','right','left_low','no','no-recurrence-events' 129: '40-49','premeno','10-14','0-2','no','1','right','left_up','no','no-recurrence-events' 130: '30-39','premeno','15-19','6-8','yes','3','left','left_low','yes','recurrence-events' 131: '50-59','ge40','20-24','3-5','yes','2','right','left_up','no','no-recurrence-events' 132: '50-59','ge40','10-14','0-2','no','2','right','left_low','no','no-recurrence-events' 133: '40-49','premeno','10-14','0-2','no','1','right','left_up','no','no-recurrence-events' 134: '60-69','ge40','30-34','3-5','yes','3','left','left_low','no','no-recurrence-events' 135: '40-49','premeno','15-19','15-17','yes','3','left','left_low','no','recurrence-events' 136: '60-69','ge40','30-34','0-2','no','3','right','central','no','recurrence-events' 137: '60-69','ge40','25-29','3-5',?,'1','right','left_low','yes','no-recurrence-events' 138: '50-59','ge40','25-29','0-2','no','3','left','right_up','no','no-recurrence-events' 139: '50-59','ge40','20-24','0-2','no','3','right','left_up','no','no-recurrence-events' 140: '40-49','premeno','30-34','0-2','no','1','left','left_low','yes','recurrence-events' 141: '30-39','premeno','15-19','0-2','no','1','left','left_low','no','no-recurrence-events' 142: '40-49','premeno','10-14','0-2','no','2','right','left_up','no','no-recurrence-events' 143: '60-69','ge40','45-49','6-8','yes','3','left','central','no','no-recurrence-events' 144: '40-49','ge40','20-24','0-2','no','3','left','left_low','no','no-recurrence-events' 145: '40-49','premeno','10-14','0-2','no','1','right','right_low','no','no-recurrence-events' 146: '30-39','premeno','35-39','0-2','no','3','left','left_low','no','recurrence-events' 147: '40-49','premeno','35-39','9-11','yes','2','right','right_up','yes','no-recurrence-events' 148: '60-69','ge40','25-29','0-2','no','2','right','left_low','no','no-recurrence-events' 149: '50-59','ge40','20-24','3-5','yes','3','right','right_up','no','recurrence-events' 150: '30-39','premeno','15-19','0-2','no','1','left','left_low','no','no-recurrence-events' 151: '50-59','premeno','30-34','0-2','no','3','left','right_up','no','recurrence-events' 152: '60-69','ge40','10-14','0-2','no','2','right','left_up','yes','no-recurrence-events' 153: '40-49','premeno','35-39','0-2','yes','3','right','left_up','yes','no-recurrence-events' 154: '50-59','premeno','50-54','0-2','yes','2','right','left_up','yes','no-recurrence-events' 155: '50-59','ge40','40-44','0-2','no','3','right','left_up','no','no-recurrence-events' 156: '70-79','ge40','15-19','9-11',?,'1','left','left_low','yes','recurrence-events' 157: '50-59','lt40','30-34','0-2','no','3','right','left_up','no','no-recurrence-events' 158: '40-49','premeno','0-4','0-2','no','3','left','central','no','no-recurrence-events' 159: '70-79','ge40','40-44','0-2','no','1','right','right_up','no','no-recurrence-events' 160: '40-49','premeno','25-29','0-2',?,'2','left','right_low','yes','no-recurrence-events' 161: '50-59','ge40','25-29','15-17','yes','3','right','left_up','no','no-recurrence-events' 162: '50-59','premeno','20-24','0-2','no','1','left','left_low','no','no-recurrence-events' 163: '50-59','ge40','35-39','15-17','no','3','left','left_low','no','no-recurrence-events' 164: '50-59','ge40','50-54','0-2','no','1','right','right_up','no','no-recurrence-events' 165: '30-39','premeno','0-4','0-2','no','2','right','central','no','recurrence-events' 166: '50-59','ge40','40-44','6-8','yes','3','left','left_low','yes','recurrence-events' 167: '40-49','premeno','30-34','0-2','no','2','right','right_up','yes','no-recurrence-events' 168: '40-49','ge40','20-24','0-2','no','3','left','left_up','no','no-recurrence-events' 169: '40-49','premeno','30-34','15-17','yes','3','left','left_low','no','recurrence-events' 170: '40-49','ge40','20-24','0-2','no','2','right','left_up','no','recurrence-events' 171: '50-59','ge40','15-19','0-2','no','1','right','central','no','no-recurrence-events' 172: '30-39','premeno','25-29','0-2','no','2','right','left_low','no','no-recurrence-events' 173: '60-69','ge40','15-19','0-2','no','2','left','left_low','no','no-recurrence-events' 174: '50-59','premeno','50-54','9-11','yes','2','right','left_up','no','recurrence-events' 175: '30-39','premeno','10-14','0-2','no','1','right','left_low','no','no-recurrence-events' 176: '50-59','premeno','25-29','3-5','yes','3','left','left_low','yes','recurrence-events' 177: '60-69','ge40','25-29','3-5',?,'1','right','left_up','yes','no-recurrence-events' 178: '60-69','ge40','10-14','0-2','no','1','right','left_low','no','no-recurrence-events' 179: '50-59','ge40','30-34','6-8','yes','3','left','right_low','no','recurrence-events' 180: '30-39','premeno','25-29','6-8','yes','3','left','right_low','yes','recurrence-events' 181: '50-59','ge40','10-14','0-2','no','1','left','left_low','no','no-recurrence-events' 182: '50-59','premeno','15-19','0-2','no','1','left','left_low','no','no-recurrence-events' 183: '40-49','premeno','25-29','0-2','no','2','right','central','no','no-recurrence-events' 184: '40-49','premeno','25-29','0-2','no','3','left','right_up','no','recurrence-events' 185: '60-69','ge40','30-34','6-8','yes','2','right','right_up','no','no-recurrence-events' 186: '50-59','lt40','15-19','0-2','no','2','left','left_low','no','no-recurrence-events' 187: '40-49','premeno','25-29','0-2','no','2','right','left_low','no','no-recurrence-events' 188: '40-49','premeno','30-34','0-2','no','1','right','left_up','no','no-recurrence-events' 189: '60-69','ge40','15-19','0-2','no','2','left','left_up','yes','no-recurrence-events' 190: '30-39','premeno','0-4','0-2','no','2','right','central','no','no-recurrence-events' 191: '50-59','ge40','35-39','0-2','no','3','left','left_up','no','no-recurrence-events' 192: '40-49','premeno','40-44','0-2','no','1','right','left_up','no','no-recurrence-events' 193: '30-39','premeno','25-29','6-8','yes','2','right','left_up','yes','no-recurrence-events' 194: '50-59','ge40','20-24','0-2','no','1','right','left_low','no','no-recurrence-events' 195: '50-59','ge40','30-34','0-2','no','1','left','left_up','no','no-recurrence-events' 196: '60-69','ge40','20-24','0-2','no','1','right','left_up','no','recurrence-events' 197: '30-39','premeno','30-34','3-5','no','3','right','left_up','yes','recurrence-events' 198: '50-59','lt40','20-24','0-2',?,'1','left','left_up','no','recurrence-events' 199: '50-59','premeno','10-14','0-2','no','2','right','left_up','no','no-recurrence-events' 200: '50-59','ge40','20-24','0-2','no','2','right','left_up','no','no-recurrence-events' 201: '40-49','premeno','45-49','0-2','no','2','left','left_low','yes','no-recurrence-events' 202: '30-39','premeno','40-44','0-2','no','1','left','left_up','no','recurrence-events' 203: '50-59','premeno','10-14','0-2','no','1','left','left_low','no','no-recurrence-events' 204: '60-69','ge40','30-34','0-2','no','3','right','left_up','yes','recurrence-events' 205: '40-49','premeno','35-39','0-2','no','1','right','left_up','no','recurrence-events' 206: '40-49','premeno','20-24','3-5','yes','2','left','left_low','yes','recurrence-events' 207: '50-59','premeno','15-19','0-2','no','2','left','left_low','no','recurrence-events' 208: '50-59','ge40','30-34','0-2','no','3','right','left_low','no','no-recurrence-events' 209: '60-69','ge40','20-24','0-2','no','2','left','left_up','no','no-recurrence-events' 210: '40-49','premeno','20-24','0-2','no','1','left','right_low','no','no-recurrence-events' 211: '60-69','ge40','30-34','3-5','yes','2','left','central','yes','recurrence-events' 212: '60-69','ge40','20-24','3-5','no','2','left','left_low','yes','recurrence-events' 213: '50-59','premeno','25-29','0-2','no','2','left','right_up','no','recurrence-events' 214: '50-59','ge40','30-34','0-2','no','1','right','right_up','no','no-recurrence-events' 215: '40-49','premeno','20-24','0-2','no','2','left','right_low','no','no-recurrence-events' 216: '60-69','ge40','15-19','0-2','no','1','right','left_up','no','no-recurrence-events' 217: '60-69','ge40','30-34','0-2','no','2','left','left_low','yes','no-recurrence-events' 218: '30-39','premeno','30-34','0-2','no','2','left','left_up','no','no-recurrence-events' 219: '30-39','premeno','40-44','3-5','no','3','right','right_up','yes','no-recurrence-events' 220: '60-69','ge40','5-9','0-2','no','1','left','central','no','no-recurrence-events' 221: '60-69','ge40','10-14','0-2','no','1','left','left_up','no','no-recurrence-events' 222: '40-49','premeno','30-34','6-8','yes','3','right','left_up','no','recurrence-events' 223: '60-69','ge40','10-14','0-2','no','1','left','left_up','no','no-recurrence-events' 224: '40-49','premeno','35-39','9-11','yes','2','right','left_up','yes','no-recurrence-events' 225: '40-49','premeno','20-24','0-2','no','1','right','left_low','no','no-recurrence-events' 226: '40-49','premeno','30-34','0-2','yes','3','right','right_up','no','recurrence-events' 227: '50-59','premeno','25-29','0-2','yes','2','left','left_up','no','no-recurrence-events' 228: '40-49','premeno','15-19','0-2','no','2','left','left_low','no','no-recurrence-events' 229: '30-39','premeno','35-39','9-11','yes','3','left','left_low','no','recurrence-events' 230: '30-39','premeno','10-14','0-2','no','2','left','right_low','no','no-recurrence-events' 231: '50-59','ge40','30-34','0-2','no','1','right','left_low','no','no-recurrence-events' 232: '60-69','ge40','30-34','0-2','no','2','left','left_up','no','no-recurrence-events' 233: '60-69','ge40','25-29','0-2','no','2','left','left_low','no','no-recurrence-events' 234: '40-49','premeno','15-19','0-2','no','2','left','left_up','no','recurrence-events' 235: '60-69','ge40','15-19','0-2','no','2','right','left_low','no','no-recurrence-events' 236: '40-49','premeno','30-34','0-2','no','2','left','right_low','no','no-recurrence-events' 237: 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'50-59','premeno','15-19','0-2','no','2','right','left_low','no','no-recurrence-events' 391: '50-59','ge40','40-44','0-2','no','3','left','right_up','no','no-recurrence-events' 392: % 393: % 394: %
@relation 關聯名稱
內容如下:
@relation breast-cancer
@attribute 屬性欄位屬性名稱屬性值
內容如下:
@attribute age {'10-19','20-29','30-39','40-49','50-59','60-69','70-79','80-89','90-99'}
@attribute menopause {'lt40','ge40','premeno'}
@attribute tumor-size {'0-4','5-9','10-14','15-19','20-24','25-29','30-34','35-39','40-44','45-49','50-54','55-59'}
@attribute inv-nodes {'0-2','3-5','6-8','9-11','12-14','15-17','18-20','21-23','24-26','27-29','30-32','33-35','36-39'}
@attribute node-caps {'yes','no'}
@attribute deg-malig {'1','2','3'}
@attribute breast {'left','right'}
@attribute breast-quad {'left_up','left_low','right_up','right_low','central'}
@attribute 'irradiat' {'yes','no'}
@attribute 'Class' {'no-recurrence-events','recurrence-events'}
@data
資料開始
@data
'40-49','premeno','15-19','0-2','yes','3','right','left_up','no','recurrence-events'
'50-59','ge40','15-19','0-2','no','1','right','central','no','no-recurrence-events'
2015/01/12
今天先暫時裝好WEKA軟體, 找時間跑跑範例測試