{"id":406,"date":"2020-04-28T21:56:47","date_gmt":"2020-04-28T12:56:47","guid":{"rendered":"https:\/\/best-biostatistics.com\/toukei-er\/entry\/support-vector-machine-by-r\/"},"modified":"2024-10-05T10:09:06","modified_gmt":"2024-10-05T01:09:06","slug":"support-vector-machine-by-r","status":"publish","type":"post","link":"https:\/\/best-biostatistics.com\/toukei-er\/entry\/support-vector-machine-by-r\/","title":{"rendered":"R \u3067\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"\n

\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u3092 R \u3067\u5b9f\u88c5\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u3002<\/p>\n\n\n\n\n\n\n\n

\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u3068\u306f\uff1f<\/h2>\n\n\n\n

\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u306b\u3064\u3044\u3066\u306f\u3001\u904e\u53bb\u8a18\u4e8b\u53c2\u7167\u3002<\/p>\n\n\n

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\n\t\t\t\t\t\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t
\"\"<\/figure><\/div>\t\t\t\t\t
\n\t\t\t\t\t\t\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u3068\u306f\uff1f\u3054\u304f\u7c21\u5358\u306b\u89e3\u8aac<\/a>\n\t\t\t\t\t\t\u6a5f\u68b0\u5b66\u7fd2\u306e\u5206\u985e\u624b\u6cd5\u306e\u4e00\u3064\u3001\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u3068\u306f\u4f55\u304b\uff1f \u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u306e\u524d\u306b\u6700\u5927\u30de\u30fc\u30b8\u30f3\u5206\u985e\u5668\u306b\u3064\u3044\u3066 \u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u3092\u8aac\u660e\u3059\u308b\u524d\u306b\u6700\u5927\u30de…<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\n\n

\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u3092 R \u3067\u5b9f\u88c5\u3059\u308b\u306e\u306b\u5fc5\u8981\u306a\u30d1\u30c3\u30b1\u30fc\u30b8<\/h2>\n\n\n\n

e1071\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u3046\u3002<\/p>\n\n\n\n

\u307e\u305a\u6700\u521d\u4e00\u56de\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3002<\/p>\n\n\n\n

install.packages<\/span>(<\/span>\"e1071\"<\/span>)<\/span>\n<\/code><\/pre>\n\n\n\n
\u547c\u3073\u51fa\u3057\u3066\u4f7f\u3046\u6e96\u5099\u3092\u3059\u308b\u3002<\/p>\n\n\n\n
library<\/span>(<\/span>e1071)<\/span>\n<\/code><\/pre>\n\n\n\n
\uff1e\uff1e\u3082\u3046\u7d71\u8a08\u3067\u60a9\u3080\u306e\u306f\u7d42\u308f\u308a\u306b\u3057\u307e\u305b\u3093\u304b\uff1f\u00a0<\/a><\/strong><\/span><\/p>\r\n\"\"<\/a>\r\n
\u21911\u4e07\u4eba\u4ee5\u4e0a\u306e\u533b\u7642\u5f93\u4e8b\u8005\u304c\u8cfc\u8aad\u4e2d<\/span><\/strong><\/span><\/p><\/div>
\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u306e\u524d\u306b\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u5206\u985e\u5668\u3067\u5206\u985e\u3059\u308b\u65b9\u6cd5<\/h2>\n\n\n\n
\u4f8b\u3068\u3057\u3066\u3001iris\u30c7\u30fc\u30bf\u3067\u5206\u985e\u5668\u3092\u4f5c\u3063\u3066\u307f\u308b\u3002<\/p>\n\n\n\n
svm()\u3068\u3044\u3046\u95a2\u6570\u3092\u4f7f\u3046\u3002<\/p>\n\n\n\n
Species\u3092\u5206\u985e\u3059\u308b\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u5206\u985e\u5668\u3092\u4f5c\u3063\u3066\u5206\u985e\u3055\u305b\u3066\u307f\u308b\u3002<\/p>\n\n\n\n
kernel=”linear”\u3067\u3001\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u5206\u985e\u5668\u3092\u6307\u5b9a\u3057\u3066\u3044\u308b\u3002<\/p>\n\n\n\n
cross=5\u306f5-fold cross validation\u3092\u5b9f\u65bd\u3059\u308b\u3088\u3046\u306b\u6307\u793a\u3057\u3066\u3044\u308b\u3002<\/p>\n\n\n\n
model <-<\/span> svm<\/span>(<\/span>Species ~<\/span> .,<\/span> data =<\/span> iris,<\/span> kernel=<\/span>\"linear\"<\/span>,<\/span> cross=<\/span>5<\/span>)<\/span>\n<\/code><\/pre>\n\n\n\n
\u4e88\u6e2c\u5024\u3092\u7b97\u51fa\u3057\u3001Confusion matrix\u3092\u4f5c\u308a\u3001\u6b63\u7b54\u7387\u3092\u8a08\u7b97\u3059\u308b\u3002<\/p>\n\n\n\n
pred <-<\/span> fitted<\/span>(<\/span>model)<\/span>\n(<\/span>svc.confusion <-<\/span> table<\/span>(<\/span>iris$<\/span>Species,<\/span> pred))<\/span>\nsum<\/span>(<\/span>diag<\/span>(<\/span>svc.confusion))<\/span>\/<\/span>sum<\/span>(<\/span>svc.confusion)<\/span>\n<\/code><\/pre>\n\n\n\n
\u8aa4\u5206\u985e\u306f150\u4f8b\u4e2d3\u4f8b\u3001\u6b63\u7b54\u7387\u306f96.7%\u3060\u3063\u305f\u3002<\/p>\n\n\n\n
><\/span> (<\/span>svc.confusion <-<\/span> table<\/span>(<\/span>iris$<\/span>Species,<\/span> pred))<\/span>\npred\nsetosa versicolor virginica\nsetosa         50<\/span>          0<\/span>         0<\/span>\nversicolor      0<\/span>         46<\/span>         4<\/span>\nvirginica       0<\/span>          1<\/span>        49<\/span>\n><\/span> sum<\/span>(<\/span>diag<\/span>(<\/span>svc.confusion))<\/span>\/<\/span>sum<\/span>(<\/span>svc.confusion)<\/span>\n[<\/span>1<\/span>]<\/span> 0.9666667<\/span>\n<\/code><\/pre>\n\n\n\n
\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u3092 R \u3067\u5b9f\u88c5\u3057\u3066\u5206\u985e\u3059\u308b\u65b9\u6cd5<\/h2>\n\n\n\n
\u5148\u307b\u3069\u306ekernel=”linear”\u3092\u524a\u9664\u3057\u3066\u3001\u30c7\u30d5\u30a9\u30eb\u30c8\u5024\u3092\u4f7f\u3046\u3002<\/p>\n\n\n\n
\u30c7\u30d5\u30a9\u30eb\u30c8\u306fkernel=”radial”\u3067\u3001\u3053\u308c\u306fradial basis\u3068\u3044\u3046\u65b9\u6cd5\u3002<\/p>\n\n\n\n
model1 <-<\/span> svm<\/span>(<\/span>Species ~<\/span> .,<\/span> data =<\/span> iris,<\/span> cross=<\/span>5<\/span>)<\/span>\npred1 <-<\/span> fitted<\/span>(<\/span>model1)<\/span>\n(<\/span>svm.confusion <-<\/span> table<\/span>(<\/span>iris$<\/span>Species,<\/span> pred1))<\/span>\nsum<\/span>(<\/span>diag<\/span>(<\/span>svm.confusion))<\/span>\/<\/span>sum<\/span>(<\/span>svm.confusion)<\/span>\n<\/code><\/pre>\n\n\n\n
\u8aa4\u5206\u985e\u306f5\u4f8b\u304b\u30894\u4f8b\u306b\u6e1b\u308a\u3001\u6b63\u7b54\u7387\u306f97.3%\u306b\u306a\u3063\u305f\u3002<\/p>\n\n\n\n
><\/span> (<\/span>svm.confusion <-<\/span> table<\/span>(<\/span>iris$<\/span>Species,<\/span> pred1))<\/span>\npred1\nsetosa versicolor virginica\nsetosa         50<\/span>          0<\/span>         0<\/span>\nversicolor      0<\/span>         48<\/span>         2<\/span>\nvirginica       0<\/span>          2<\/span>        48<\/span>\n><\/span> sum<\/span>(<\/span>diag<\/span>(<\/span>svm.confusion))<\/span>\/<\/span>sum<\/span>(<\/span>svm.confusion)<\/span>\n[<\/span>1<\/span>]<\/span> 0.9733333<\/span>\n<\/code><\/pre>\n\n\n\n
\u307e\u3068\u3081<\/h2>\n\n\n\n
\u7d71\u8a08\u30bd\u30d5\u30c8R\u3067\u306fe1071\u30d1\u30c3\u30b1\u30fc\u30b8\u3067\u3001\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u3092\u5b9f\u884c\u3067\u304d\u308b\u3002 <\/p>\n\n\n\n
\u95a2\u9023\u8a18\u4e8b<\/h2>\n\n\n
\t\t\t
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\n\t\t\t\t\t\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t
\"\"<\/figure><\/div>\t\t\t\t\t
\n\t\t\t\t\t\t\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u3068\u306f\uff1f\u3054\u304f\u7c21\u5358\u306b\u89e3\u8aac<\/a>\n\t\t\t\t\t\t\u6a5f\u68b0\u5b66\u7fd2\u306e\u5206\u985e\u624b\u6cd5\u306e\u4e00\u3064\u3001\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u3068\u306f\u4f55\u304b\uff1f \u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u306e\u524d\u306b\u6700\u5927\u30de\u30fc\u30b8\u30f3\u5206\u985e\u5668\u306b\u3064\u3044\u3066 \u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u3092\u8aac\u660e\u3059\u308b\u524d\u306b\u6700\u5927\u30de…<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>","protected":false},"excerpt":{"rendered":"
\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u3092 R \u3067\u5b9f\u88c5\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u3002<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"swell_btn_cv_data":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[5,103],"tags":[],"class_list":["post-406","post","type-post","status-publish","format-standard","hentry","category-r","category-103"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/406","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/comments?post=406"}],"version-history":[{"count":1,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/406\/revisions"}],"predecessor-version":[{"id":2383,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/406\/revisions\/2383"}],"wp:attachment":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/media?parent=406"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/categories?post=406"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/tags?post=406"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}