{"id":349,"date":"2022-01-30T17:28:07","date_gmt":"2022-01-30T08:28:07","guid":{"rendered":"https:\/\/www.ritzcolor.net\/?p=349"},"modified":"2022-02-28T00:51:00","modified_gmt":"2022-02-27T15:51:00","slug":"signate%e3%83%88%e3%83%a9%e3%82%a4-%e5%9b%bd%e7%a8%8e%e8%aa%bf%e6%9f%bb%e4%ba%88%e6%b8%ac2-1st-submission","status":"publish","type":"post","link":"https:\/\/www.ritzcolor.net\/?p=349","title":{"rendered":"SIGNATE\u30c8\u30e9\u30a4 -\u56fd\u7a0e\u8abf\u67fb\u4e88\u6e2c2- 1st submission"},"content":{"rendered":"\n

\u304b\u306a\u308a\u66f4\u65b0\u306b\u304b\u304b\u3063\u3066\u3057\u307e\u3044\u307e\u3057\u305f\u3002\u672c\u6765\u306f\u30b9\u30c6\u30c3\u30d7\u3092\u5168\u3066\u8a18\u8ff0\u3057\u305f\u304b\u3063\u305f\u3068\u3053\u308d\u3067\u3059\u304c\u3001\u90fd\u5408\u306b\u3088\u308a(\u5fd8\u308c\u305f)\u6700\u7d42\u7684\u306b0.8429412\u3067190\/391\u3068\u306a\u3063\u305f\u30b3\u30fc\u30c9\u3092\u7c21\u5358\u306a\u89e3\u8aac\u3068\u3068\u3082\u306b\u7d39\u4ecb\u3057\u3088\u3046\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

#\u304a\u99b4\u67d3\u307f\u306e\u5fc5\u8981\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u3001\u30d5\u30a1\u30a4\u30eb\u306e\u8aad\u307f\u8fbc\u307f\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport seaborn as sns\n\ntrain_df = pd.read_csv("train.csv")\ntest_df = pd.read_csv("test.csv")\n<\/code><\/pre><\/div>\n\n\n\n
<\/p>\n\n\n\n
#\u8aac\u660e\u5909\u6570\u3092\u518d\u898b\u76f4(ver1\u3088\u308a)\n\n#sex->\u5909\u66f4\u306a\u3057\n#workclass->3\u6bb5\u968e\u304b\u30895\u6bb5\u968e\u3078\u5206\u5272\n#education->3\u6bb5\u968e\u304b\u30895\u6bb5\u968e\u3078\u5206\u5272->\u6570\u5024\u3067\u8a55\u4fa1->10th\u4ee5\u4e0b\u306f\u4e00\u307e\u3068\u3081\u306b\u3057\u3066\u3001\u305d\u308c\u4ee5\u5916\u306f\u6570\u5024\u5909\u63db\n#material-status->2\u6bb5\u968e\u304b\u30893\u6bb5\u968e\u3078\u5206\u5272\n#occupation\t\t3\u6bb5\u968e\u304b\u30896\u6bb5\u968e\u3078\u5206\u5272->\u6570\u5024\u3067\u8a55\u4fa1(\u7dda\u5f62\u7684\u306b\u5909\u5316)\n#relation-ship->\u5909\u66f4\u306a\u3057\n#race->\u30c7\u30fc\u30bf\u6bcd\u6570\u306e\u504f\u308a\u304c\u5927\u304d\u3044\u3002\u6d88\u53bb\u3059\u308b\n#native-countr->\u30c7\u30fc\u30bf\u6bcd\u6570\u306e\u504f\u308a\u304c\u5927\u304d\u3044\u3002\u6d88\u53bb\u3059\u308b\n#education-num->ver10\u540c\u69d8\u306b3\u5206\u5272\n\ncombine = [train_df, test_df]\ndataset = combine\n\nfor dataset in combine:\n#dataset['occupation'] = dataset['occupation'].replace(["Exec-managerial","Prof-specialty"], 'biggest')\n#dataset['occupation'] = dataset['occupation'].replace(["Sales", "Tech-support"], 'big')\n#dataset['occupation'] = dataset['occupation'].replace(["Transport-moving","Protective-serv"], 'middle-b')\n#dataset['occupation'] = dataset['occupation'].replace(["Craft-repair","Farming-fishing","Machine-op-inspct"], 'middle-s')\n#dataset['occupation'] = dataset['occupation'].replace(["Craft-repair"], 'middle-ss')\n#dataset['occupation'] = dataset['occupation'].replace(["?", "Adm-clerical"], 'small')\n#dataset['occupation'] = dataset['occupation'].replace(["Handlers-cleaners","Other-service"], 'smallest')\n    dataset["marital-status"] = dataset["marital-status"].replace(["Married-civ-spouse"], "big")\n    dataset["marital-status"] = dataset["marital-status"].replace(["Divorced", "Never-married",  "Separated"], "middle")\n    dataset["marital-status"] = dataset["marital-status"].replace(["Widowed"], "small")\n#dataset["education"] = dataset["education"].replace(["Prof-school"], "biggest")\n#dataset["education"] = dataset["education"].replace(["Bachelors", "Masters"], "big")\n#dataset["education"] = dataset["education"].replace(["Assoc-acdm","Some-college"], "middle")\n#dataset["education"] = dataset["education"].replace(["Assoc-voc","HS-grad"], "middle-small")\n#dataset["education"] = dataset["education"].replace(["10th", "11th", "12th", "1st-4th", "5th-6th", "7th-8th","9th"],"small" )\n#dataset["workclass"] = dataset["workclass"].replace(["Self-emp-inc"], "big")\n#dataset["workclass"] = dataset["workclass"].replace(["Federal-gov","Self-emp-not-inc"], "middle")\n#dataset["workclass"] = dataset["workclass"].replace(["Local-gov","State-gov"], "middle-low")\n#dataset["workclass"] = dataset["workclass"].replace(["Private"], "small-low")\n#dataset["workclass"] = dataset["workclass"].replace(["?"], "small")\n    dataset["relationship"] = dataset["relationship"].replace(["Husband", "Wife"], "big")\n    dataset["relationship"] = dataset["relationship"].replace(["Not-in-family", "Other-relative","Own-child", "Unmarried"], "small")\n\n#age\u306fover\u3068under\u3067\u5206\u5272(\u305d\u306e\u307e\u307e)\ntrain_df["age_g"] = "aa"\ntest_df["age_g"] = "aa"\n\n#education-num\u30923\u5206\u5272\n#train_df["edu_g"] = "mid"\n#test_df["edu_g"] = "mid"\n\n#train_df['edu_g'].where(train_df['education-num'] > 8, "low", inplace=True)\n#train_df['edu_g'].where(train_df['education-num'] < 13, "high", inplace=True)\n\n#test_df['edu_g'].where(test_df['education-num'] > 8, "low", inplace=True)\n#test_df['edu_g'].where(test_df['education-num'] < 13, "high", inplace=True)\n\ntrain_df['age_g'].where(train_df['age'] > 35, "under", inplace=True)\ntrain_df['age_g'].where(train_df['age'] <= 35, "over", inplace=True)\n\ntest_df['age_g'].where(test_df['age'] > 35, "under", inplace=True)\ntest_df['age_g'].where(test_df['age'] <= 35, "over", inplace=True)\n    \n#age, native-country\u3092\u524a\u9664\ntrain_df = train_df.drop(["age", "race", "native-country","fnlwgt"], axis=1)\ntest_df = test_df.drop(["age","race",  "native-country","fnlwgt"], axis=1)\n\n#fnlwgt\u3092\u30c0\u30df\u30fc\u5316\u3059\u308b\u305f\u3081\u3001object\u306b\u5909\u63db\n#train_df["fnlwgt"]= train_df["fnlwgt"].astype('object')\n#test_df["fnlwgt"]= test_df["fnlwgt"].astype('object')\n\n#age\u4ee5\u5916\u3092\u30c0\u30df\u30fc\u5316\u3059\u308b\n# train_df = pd.get_dummies(train_df)\n# test_df = pd.get_dummies(test_df)<\/code><\/pre><\/div>\n","protected":false},"excerpt":{"rendered":"
\u304b\u306a\u308a\u66f4\u65b0\u306b\u304b\u304b\u3063\u3066\u3057\u307e\u3044\u307e\u3057\u305f\u3002\u672c\u6765\u306f\u30b9\u30c6\u30c3\u30d7\u3092\u5168\u3066\u8a18\u8ff0\u3057\u305f\u304b\u3063\u305f\u3068\u3053\u308d\u3067\u3059\u304c\u3001\u90fd\u5408\u306b\u3088\u308a(\u5fd8\u308c\u305f)\u6700\u7d42\u7684\u306b0.8429412\u3067190\/391\u3068\u306a\u3063\u305f\u30b3\u30fc\u30c9\u3092\u7c21\u5358\u306a\u89e3\u8aac\u3068\u3068\u3082\u306b\u7d39\u4ecb\u3057\u3088\u3046\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n","protected":false},"author":1,"featured_media":176,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spay_email":""},"categories":[28],"tags":[20,49,45],"aioseo_notices":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/www.ritzcolor.net\/wp-content\/uploads\/2020\/10\/character_program_smart-1.png?fit=400%2C400&ssl=1","_links":{"self":[{"href":"https:\/\/www.ritzcolor.net\/index.php?rest_route=\/wp\/v2\/posts\/349"}],"collection":[{"href":"https:\/\/www.ritzcolor.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ritzcolor.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ritzcolor.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ritzcolor.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=349"}],"version-history":[{"count":4,"href":"https:\/\/www.ritzcolor.net\/index.php?rest_route=\/wp\/v2\/posts\/349\/revisions"}],"predecessor-version":[{"id":366,"href":"https:\/\/www.ritzcolor.net\/index.php?rest_route=\/wp\/v2\/posts\/349\/revisions\/366"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ritzcolor.net\/index.php?rest_route=\/wp\/v2\/media\/176"}],"wp:attachment":[{"href":"https:\/\/www.ritzcolor.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=349"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ritzcolor.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=349"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ritzcolor.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=349"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}