输入Arff文件格式

Question

我正在做我的机器学习作业，我正在使用我很新的Weka。我正在尝试使用M5P，但分类器显示为灰色。据我所知，这意味着使用的文件不正确，无论是格式还是参数。有人可以帮我修复我的arff文件吗？我很确定问题出在属性部分。这里是。

    @relation world_happiness
@attribute M5P
@attribute continent {Americas, Africa, Asia, Europe, Australia, Antarctica}
@attribute country string
@attribute SWL-ranking numeric
@attribute SWL-index numeric
@attribute life-expectancy numeric
@attribute GDP-per-capita numeric
@attribute access-to-education-score numeric

@data
Europe,'Albania',157,153.33,73.8,4.9,75.8
Africa,'Algeria',134,173.33,71.1,7.2,66.9
Africa,'Angola',149,160,40.8,3.2,?
Americas, 'Antigua And Barbuda',16,246.67,73.9,11,?
Americas,'Argentina',56,226.67,74.5,13.1,93.7
Europe,'Armenia',172,123.33,71.5,4.5,?
Australia,'Australia',26,243.33,80.3,31.9,?
Europe,'Austria',3,260,79,32.7,99.1
Asia,'Azerbaijan',144,163.33,66.9,4.8,80.2
Americas,'Bahamas',5,256.67,69.7,20.2,?
Asia,'Bahrain',33,240,74.3,23,102
Asia,'Bangladesh',104,190,62.8,2.1,53.7
Americas,'Barbados',27,243.33,75,17,101.1
Europe,'Belarus',170,133.33,68.1,6.9,94.2
Europe,'Belgium',28,243.33,78.9,31.4,145.4
Americas,'Belize',48,230,71.9,6.8,71.6
Africa,'Benin',122,180,54,1.1,21.8
Asia,'Bhutan',8,253.33,62.9,1.4,?
Americas,'Bolivia',117,183.33,64.1,2.9,?
Europe, 'Bosnia & Herzegovina',137,170,74.2,6.8,?
Africa,'Botswana',123,180,36.3,10.5,81.8
Americas,'Brazil',81,210,70.5,8.4,103.2
Asia, 'Brunei Darussalam',9,253.33,76.4,23.6,?
Europe,'Bulgaria',164,143.33,72.2,9.6,92
Africa, 'Burkina Faso',152,156.67,47.5,1.3,10
Asia,'Burma',130,176.67,60.2,1.7,?
Africa,'Burundi',178,100,43.6,0.7,?
Asia,'Cambodia',110,186.67,56.2,2.2,17.3
Africa,'Cameroon',138,170,45.8,2.4,?
Americas,'Canada',10,253.33,80,34,102.6
Africa, 'Cape Verdi',100,193.33,70.4,6.2,?
Africa, 'Central African Republic',145,163.33,39.3,1.1,?
Africa,'Chad',159,150,43.6,1.5,11.5
Americas,'Chile',71,216.67,77.9,11.3,87.5
Asia,'China',82,210,71.6,6.8,62.8
Americas,'Colombia',34,240,72.4,7.9,70.9
Africa,'Comoros',97,196.67,63.2,0.6,?
Africa, 'Congo Democratic Republic',176,110,43.1,0.7,18.4
Africa, 'Congo Republic',105,190,52,1.3,?
Americas, 'Costa Rica',13,250,78.2,11.1,50.9
Europe,'Croatia',98,196.67,75,11.6,?
Americas,'Cuba',83,210,77.3,3.5,?
Europe,'Cyprus',49,230,78.6,7.14,?
Europe, 'Czech Republic',77,213.33,75.6,19.5,87.9
Europe,'Denmark',1,273.33,77.2,34.6,?
Africa,'Dijbouti',150,160,52.8,1.3,14.7
Americas,'Dominica',29,243.33,75.6,5.5,?
Americas, 'Dominican Republic',42,233.33,67.2,7,?
Americas,'Ecuador',111,186.67,74.3,4.3,56.7
Africa,'Egypt',151,160,69.8,3.9,?
Americas, 'El Salvador',61,220,70.9,4.7,49.8
Africa, 'Equatorial Guinea',135,173.33,43.3,50.2,?
Africa,'Eritrea',162,146.67,53.8,1,28.2
Europe,'Estonia',139,170,71.3,16.7,107
Africa,'Ethiopia',153,156.67,47.6,0.9,5.2
Australia, 'Fiji',57,223.33,67.8,6,?
Europe,'Finland',6,256.67,78.5,30.9,124.5
Europe,'France',62,220,79.5,29.9,108.7
Africa,'Gabon',88,206.67,54.5,6.8,54.4
Africa,'Gambia',106,190,55.7,1.9,27
Europe,'Georgia',169,136.67,70.5,3.3,77.7
Europe,'Germany',35,240,78.7,30.4,99
Africa,'Ghana',89,206.67,56.8,2.5,37.3
Europe,'Greece',84,210,78.3,22.2,94.6
Americas,'Grenada',72,216.67,65.3,5,?
Americas,'Guatemala',43,233.33,67.3,4.7,32.7
Africa,'Guinea',140,170,53.7,2,?
Africa,'Guinea-Bissau',124,180,44.7,0.8,20.4
Americas,'Guyana',36,240,63.1,4.6,81
Americas,'Haiti',118,183.33,51.6,1.7,?
Americas,'Honduras',37,240,67.8,2.9,?
Asia, 'Hong Kong',63,220,81.6,32.9,?
Europe,'Hungary',107,190,72.7,16.3,98.6
Europe,'Iceland',4,260,80.7,35.6,108.8
Asia,'India',125,180,63.3,3.3,49.9
Asia,'Indonesia',64,220,66.8,3.6,?
Asia,'Iran',96,200,70.4,8.3,80
Europe,'Ireland',11,253.33,77.7,41,123.1
Asia,'Israel',58,223.33,79.7,24.6,93
Europe,'Italy',50,230,80.1,29.2,92.8
Africa, 'Ivory Coast',160,150,45.9,1.6,21.7
Americas,'Jamaica',44,233.33,70.8,4.4,83.6
Asia,'Japan',90,206.67,82,31.5,102.1
Asia,'Jordan',141,170,71.3,4.7,87.7
Asia,'Kazakhstan',101,193.33,63.2,8.2,87
Africa,'Kenya',112,186.67,47.2,1.1,?
Asia,'Kuwait',38,240,76.9,19.2,55.6
Asia,'Kyrgyzstan',65,220,66.8,2.1,83
Asia,'Laos',126,180,54.7,1.9,35.6
Europe,'Latvia',154,156.67,71.6,13.2,88.9
Asia,'Lebanon',113,186.67,72,6.2,78.2
Africa,'Lesotho',165,143.33,36.3,2.5,28
Africa,'Libya',108,190,73.6,11.4,?
Europe,'Lithuania',155,156.67,72.3,13.7,93.4
Europe,'Luxembourg',12,253.33,78.5,55.6,95.3
Europe,'Macedonia',146,163.33,73.8,7.8,?
Africa,'Madagascar',103,193.33,55.4,0.9,?
Africa,'Malawi',158,153.33,39.7,0.6,?
Asia,'Malaysia',17,246.67,73.2,12.1,98.8
Asia,'Maldives',66,220,66.6,3.9,42.7
Africa,'Mali',131,176.67,47.9,1.2,15
Europe,'Malta',14,250,78.4,19.9,90.4
Africa,'Mauritania',132,176.67,52.7,2.2,?
Africa,'Mauritius',73,216.67,72.2,13.1,107.3
Americas,'Mexico',51,230,75.1,10,73.4
Europe,'Moldova',175,116.67,67.7,1.8,?
Asia,'Mongolia',59,223.33,64,1.9,64.4
Africa,'Morocco',114,186.67,69.7,4.2,39.3
Africa,'Mozambique',127,180,41.9,1.3,13.9
Africa,'Namibia',74,216.67,48.3,7,59.8
Asia,'Nepal',119,183.33,61.6,1.4,53.9
Europe,'Netherlands',15,250,78.4,30.5,124.1
Australia,' New Zealand',18,246.67,79.1,25.2,112.9
Americas,'Nicaragua',85,210,69.7,2.9,?
Africa,'Niger',161,150,44.4,0.9,?
Africa,'Nigeria',120,183.33,43.4,1.4,?
Europe,'Norway',19,246.67,79.4,42.3,117
Asia,'Oman',30,243.33,74.1,13.2,67.8
Asia,'Pakistan',166,143.33,63,2.4,39
Asia,'Palestine',128,180,72.5,5.8,80.7
Americas,'Panama',39,240,74.8,7.2,68.7
Australia, 'Papua New Guinea',86,210,55.3,2.6,21.2
Americas,'Paraguay',75,216.67,71,4.9,56.9
Americas,'Peru',115,186.67,70,5.9,80.8
Asia,'Philippines',78,213.33,70.4,5.1,75.9
Europe,'Poland',99,196.67,74.3,13.3,?
Europe,'Portugal',92,203.33,77.2,19.3,112
Asia,'Qatar',45,233.33,72.8,27.4,92.4
Europe,'Romania',136,173.33,71.3,8.2,80.2
Europe,'Russia',167,143.33,65.3,11.1,81.9
Africa,'Rwanda',163,146.67,43.9,1.5,12.1
Australia, 'Samoa Western',52,230,70.2,5.8,76
Africa, 'Sao Tome And Principe',60,223.33,63,1.2,?
Asia, 'Saudi Arabia',31,243.33,71.8,12.8,68.5
Africa,'Senegal',116,186.67,55.7,1.8,19.5
Africa,'Seychelles',20,246.67,72.7,7.8,?
Africa, 'Sierra Leone',143,166.67,40.8,0.8,23.9
Asia,'Singapore',53,230,78.7,28.1,?
Europe,'Slovakia',129,180,74,16.1,86.6
Europe,'Slovenia',67,220,76.4,21.6,98.8
Australia, 'Solomon Islands',54,230,62.3,1.7,?
Africa, 'South Africa',109,190,48.4,12,90.2
Asia, 'South Korea',102,193.33,77,20.4,97.4
Europe,'Spain',46,233.33,79.5,25.5,112.8
Asia, 'Sri Lanka',93,203.33,74,4.3,?
Americas, 'St Kitts And Nevis',21,246.67,70,8.8,?
Americas, 'St Lucia',47,233.33,72.4,5.4,94.3
Americas, 'St Vincent And The Grenadines',40,240,71.1,2.9,?
Africa,'Sudan',173,120,56.4,2.1,28.8
Americas,'Suriname',32,243.33,69.1,4.1,50.7
Africa,'Swaziland',168,140,32.5,5,?
Europe,'Sweden',7,256.67,80.2,29.8,152.8
Europe,'Switzerland',2,273.33,80.5,32.3,99.9
Asia,'Syria',142,170,73.3,3.9,42
Asia,'Taiwan',68,220,76.1,27.6,?
Asia,'Tajikistan',94,203.33,63.6,1.2,76
Africa,'Tanzania',121,183.33,46,0.7,5.31
Asia,'Thailand',76,216.67,70,8.3,79
Asia,'Timor-Leste',69,220,65.5,0.4,?
Africa,'Togo',147,163.33,54.3,1.7,?
Australia,' Tonga',70,220,72.2,2.3,?
Americas, 'Trinidad And Tobago',55,230,69.9,16.7,78.4
Africa,'Tunisia',79,213.33,73.3,8.3,74.6
Europe,'Turkey',133,176.67,68.7,8.2,?
Asia,'Turkmenistan',171,133.33,62.4,8,?
Asia,'Uae',22,246.67,78,43.4,74.4
Africa,'Uganda',156,156.67,47.3,1.8,?
Europe,'Ukraine',174,120,66.1,7.2,92.8
Europe, 'United Kingdom',41,236.67,78.4,30.3,157.2
Americas,'Uruguay',87,210,75.4,9.6,91.6
Americas,'Usa',23,246.67,77.4,41.8,94.6
Asia,'Uzbekistan',80,213.33,66.5,1.8,?
Australia,' Vanuatu',24,246.67,68.6,2.9,28.5
Americas,'Venezuela',25,246.67,72.9,6.1,?
Asia,'Vietnam',95,203.33,70.5,2.8,64.6
Asia,'Yemen',91,206.67,60.6,0.9,?
Africa,'Zambia',148,163.33,37.5,0.9,25.5
Africa,'Zimbabwe',177,110,36.9,2.3,45.3

Answer 1

您不需要M5P系列。那不是属性。只省略第2行。

国家有一些问题：我收到消息“属性既不是数字也不是名义”。 （我看到你把它作为字符串，所以这是正确的）。但是当我删除country属性时，我可以运行M5P。 （3条规则，相关性= .85）。

现在，你可能会想“但我想跟踪我的预测所针对的国家”。以下是如何做到这一点：

首先，设置过滤分类器以删除属性2（国家/地区）并运行M5P：

其次，在更多选项下，选择输出预测，选择格式。这里我选择了CSV（逗号分隔值），然后右键单击以选择要输出的所有属性（first-last）。

现在开始模型。这将为您提供实际，预测和所有数据，包括国家/地区名称：