SVM支持向量机分类鸢尾花数据集iris及代码

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  • 2022-05-27 04:21
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SVM支持向量机分类鸢尾花数据集iris及代码,数据集有Excel、data、txt文件格式,代码有data、txt格式演示
SVM支持向量机分类鸢尾花数据集iris及代码.rar
  • SVM支持向量机分类鸢尾花数据集iris及代码
  • iris2.data
    811B
  • iris.csv
    3.8KB
  • iris2.txt
    3.7KB
  • svm02.py
    4.4KB
  • iris.txt
    4.9KB
  • svm01.py
    5.9KB
内容介绍
"Sepal.Length" "Sepal.Width" "Petal.Length" "Petal.Width" "Species" "1" 5.1 3.5 1.4 0.2 "setosa" "2" 4.9 3 1.4 0.2 "setosa" "3" 4.7 3.2 1.3 0.2 "setosa" "4" 4.6 3.1 1.5 0.2 "setosa" "5" 5 3.6 1.4 0.2 "setosa" "6" 5.4 3.9 1.7 0.4 "setosa" "7" 4.6 3.4 1.4 0.3 "setosa" "8" 5 3.4 1.5 0.2 "setosa" "9" 4.4 2.9 1.4 0.2 "setosa" "10" 4.9 3.1 1.5 0.1 "setosa" "11" 5.4 3.7 1.5 0.2 "setosa" "12" 4.8 3.4 1.6 0.2 "setosa" "13" 4.8 3 1.4 0.1 "setosa" "14" 4.3 3 1.1 0.1 "setosa" "15" 5.8 4 1.2 0.2 "setosa" "16" 5.7 4.4 1.5 0.4 "setosa" "17" 5.4 3.9 1.3 0.4 "setosa" "18" 5.1 3.5 1.4 0.3 "setosa" "19" 5.7 3.8 1.7 0.3 "setosa" "20" 5.1 3.8 1.5 0.3 "setosa" "21" 5.4 3.4 1.7 0.2 "setosa" "22" 5.1 3.7 1.5 0.4 "setosa" "23" 4.6 3.6 1 0.2 "setosa" "24" 5.1 3.3 1.7 0.5 "setosa" "25" 4.8 3.4 1.9 0.2 "setosa" "26" 5 3 1.6 0.2 "setosa" "27" 5 3.4 1.6 0.4 "setosa" "28" 5.2 3.5 1.5 0.2 "setosa" "29" 5.2 3.4 1.4 0.2 "setosa" "30" 4.7 3.2 1.6 0.2 "setosa" "31" 4.8 3.1 1.6 0.2 "setosa" "32" 5.4 3.4 1.5 0.4 "setosa" "33" 5.2 4.1 1.5 0.1 "setosa" "34" 5.5 4.2 1.4 0.2 "setosa" "35" 4.9 3.1 1.5 0.2 "setosa" "36" 5 3.2 1.2 0.2 "setosa" "37" 5.5 3.5 1.3 0.2 "setosa" "38" 4.9 3.6 1.4 0.1 "setosa" "39" 4.4 3 1.3 0.2 "setosa" "40" 5.1 3.4 1.5 0.2 "setosa" "41" 5 3.5 1.3 0.3 "setosa" "42" 4.5 2.3 1.3 0.3 "setosa" "43" 4.4 3.2 1.3 0.2 "setosa" "44" 5 3.5 1.6 0.6 "setosa" "45" 5.1 3.8 1.9 0.4 "setosa" "46" 4.8 3 1.4 0.3 "setosa" "47" 5.1 3.8 1.6 0.2 "setosa" "48" 4.6 3.2 1.4 0.2 "setosa" "49" 5.3 3.7 1.5 0.2 "setosa" "50" 5 3.3 1.4 0.2 "setosa" "51" 7 3.2 4.7 1.4 "versicolor" "52" 6.4 3.2 4.5 1.5 "versicolor" "53" 6.9 3.1 4.9 1.5 "versicolor" "54" 5.5 2.3 4 1.3 "versicolor" "55" 6.5 2.8 4.6 1.5 "versicolor" "56" 5.7 2.8 4.5 1.3 "versicolor" "57" 6.3 3.3 4.7 1.6 "versicolor" "58" 4.9 2.4 3.3 1 "versicolor" "59" 6.6 2.9 4.6 1.3 "versicolor" "60" 5.2 2.7 3.9 1.4 "versicolor" "61" 5 2 3.5 1 "versicolor" "62" 5.9 3 4.2 1.5 "versicolor" "63" 6 2.2 4 1 "versicolor" "64" 6.1 2.9 4.7 1.4 "versicolor" "65" 5.6 2.9 3.6 1.3 "versicolor" "66" 6.7 3.1 4.4 1.4 "versicolor" "67" 5.6 3 4.5 1.5 "versicolor" "68" 5.8 2.7 4.1 1 "versicolor" "69" 6.2 2.2 4.5 1.5 "versicolor" "70" 5.6 2.5 3.9 1.1 "versicolor" "71" 5.9 3.2 4.8 1.8 "versicolor" "72" 6.1 2.8 4 1.3 "versicolor" "73" 6.3 2.5 4.9 1.5 "versicolor" "74" 6.1 2.8 4.7 1.2 "versicolor" "75" 6.4 2.9 4.3 1.3 "versicolor" "76" 6.6 3 4.4 1.4 "versicolor" "77" 6.8 2.8 4.8 1.4 "versicolor" "78" 6.7 3 5 1.7 "versicolor" "79" 6 2.9 4.5 1.5 "versicolor" "80" 5.7 2.6 3.5 1 "versicolor" "81" 5.5 2.4 3.8 1.1 "versicolor" "82" 5.5 2.4 3.7 1 "versicolor" "83" 5.8 2.7 3.9 1.2 "versicolor" "84" 6 2.7 5.1 1.6 "versicolor" "85" 5.4 3 4.5 1.5 "versicolor" "86" 6 3.4 4.5 1.6 "versicolor" "87" 6.7 3.1 4.7 1.5 "versicolor" "88" 6.3 2.3 4.4 1.3 "versicolor" "89" 5.6 3 4.1 1.3 "versicolor" "90" 5.5 2.5 4 1.3 "versicolor" "91" 5.5 2.6 4.4 1.2 "versicolor" "92" 6.1 3 4.6 1.4 "versicolor" "93" 5.8 2.6 4 1.2 "versicolor" "94" 5 2.3 3.3 1 "versicolor" "95" 5.6 2.7 4.2 1.3 "versicolor" "96" 5.7 3 4.2 1.2 "versicolor" "97" 5.7 2.9 4.2 1.3 "versicolor" "98" 6.2 2.9 4.3 1.3 "versicolor" "99" 5.1 2.5 3 1.1 "versicolor" "100" 5.7 2.8 4.1 1.3 "versicolor" "101" 6.3 3.3 6 2.5 "virginica" "102" 5.8 2.7 5.1 1.9 "virginica" "103" 7.1 3 5.9 2.1 "virginica" "104" 6.3 2.9 5.6 1.8 "virginica" "105" 6.5 3 5.8 2.2 "virginica" "106" 7.6 3 6.6 2.1 "virginica" "107" 4.9 2.5 4.5 1.7 "virginica" "108" 7.3 2.9 6.3 1.8 "virginica" "109" 6.7 2.5 5.8 1.8 "virginica" "110" 7.2 3.6 6.1 2.5 "virginica" "111" 6.5 3.2 5.1 2 "virginica" "112" 6.4 2.7 5.3 1.9 "virginica" "113" 6.8 3 5.5 2.1 "virginica" "114" 5.7 2.5 5 2 "virginica" "115" 5.8 2.8 5.1 2.4 "virginica" "116" 6.4 3.2 5.3 2.3 "virginica" "117" 6.5 3 5.5 1.8 "virginica" "118" 7.7 3.8 6.7 2.2 "virginica" "119" 7.7 2.6 6.9 2.3 "virginica" "120" 6 2.2 5 1.5 "virginica" "121" 6.9 3.2 5.7 2.3 "virginica" "122" 5.6 2.8 4.9 2 "virginica" "123" 7.7 2.8 6.7 2 "virginica" "124" 6.3 2.7 4.9 1.8 "virginica" "125" 6.7 3.3 5.7 2.1 "virginica" "126" 7.2 3.2 6 1.8 "virginica" "127" 6.2 2.8 4.8 1.8 "virginica" "128" 6.1 3 4.9 1.8 "virginica" "129" 6.4 2.8 5.6 2.1 "virginica" "130" 7.2 3 5.8 1.6 "virginica" "131" 7.4 2.8 6.1 1.9 "virginica" "132" 7.9 3.8 6.4 2 "virginica" "133" 6.4 2.8 5.6 2.2 "virginica" "134" 6.3 2.8 5.1 1.5 "virginica" "135" 6.1 2.6 5.6 1.4 "virginica" "136" 7.7 3 6.1 2.3 "virginica" "137" 6.3 3.4 5.6 2.4 "virginica" "138" 6.4 3.1 5.5 1.8 "virginica" "139" 6 3 4.8 1.8 "virginica" "140" 6.9 3.1 5.4 2.1 "virginica" "141" 6.7 3.1 5.6 2.4 "virginica" "142" 6.9 3.1 5.1 2.3 "virginica" "143" 5.8 2.7 5.1 1.9 "virginica" "144" 6.8 3.2 5.9 2.3 "virginica" "145" 6.7 3.3 5.7 2.5 "virginica" "146" 6.7 3 5.2 2.3 "virginica" "147" 6.3 2.5 5 1.9 "virginica" "148" 6.5 3 5.2 2 "virginica" "149" 6.2 3.4 5.4 2.3 "virginica" "150" 5.9 3 5.1 1.8 "virginica"
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