{
  "fetched_at": "2026-10-24T08:03:14Z",
  "source_url": "https://www.kaggle.com/competitions/campanha-de-telemarketing/data",
  "pages": [
    {
      "name": "data-description",
      "content": "<p>This page shows up underneath the data files. Here you describe what files you have provided and the format of each. There is no single format for this page that is appropriate for all competitons, but you should strive to describe as much as you can here. A little time spent describing the data here can save a lot of time answering questions later.</p>\n<p>Participants should be able to answer questions like these after reading the data description: What files do I need? What should I expect the data format to be? What am I predicting? What acroynms will I encounter?</p>\n<h2>File descriptions</h2>\n<ul>\n<li><strong>train.csv</strong> - the training set</li>\n<li><strong>test.csv</strong> - the test set</li>\n<li><strong>sampleSubmission.csv</strong> - a sample submission file in the correct format</li>\n<li><strong>metaData.csv</strong> - supplemental information about the data</li>\n<li>etc...</li>\n</ul>\n\n## Variáveis explicativas\n1 - age (numeric)\n\n2 - job : type of job (categorical: 'admin.','blue-collar','entrepreneur','housemaid','management','retired','self-employed','services','student','technician','unemployed','unknown')\n\n3 - marital : marital status (categorical: 'divorced','married','single','unknown'; note: 'divorced' means divorced or widowed)\n\n4 - education (categorical: 'basic.4y','basic.6y','basic.9y','high.school','illiterate','professional.course','university.degree','unknown')\n\n5 - default: has credit in default? (categorical: 'no','yes','unknown')\n\n6 - housing: has housing loan? (categorical: 'no','yes','unknown')\n\n7 - loan: has personal loan? (categorical: 'no','yes','unknown')\n\n8 - contact: contact communication type (categorical: 'cellular','telephone')\n\n9 - month: last contact month of year (categorical: 'jan', 'feb', 'mar', ..., 'nov', 'dec')\n\n10 - day_of_week: last contact day of the week (categorical: 'mon','tue','wed','thu','fri')\n\n11 - duration: last contact duration, in seconds (numeric). Important note: this attribute highly affects the output target (e.g., if duration=0 then y='no'). Yet, the duration is not known before a call is performed. Also, after the end of the call y is obviously known. Thus, this input should only be included for benchmark purposes and should be discarded if the intention is to have a realistic predictive model.\n\n12 - campaign: number of contacts performed during this campaign and for this client (numeric, includes last contact)\n\n13 - pdays: number of days that passed by after the client was last contacted from a previous campaign (numeric; 999 means client was not previously contacted)\n\n14 - previous: number of contacts performed before this campaign and for this client (numeric)\n\n15 - poutcome: outcome of the previous marketing campaign (categorical: 'failure','nonexistent','success')\n\n16 - emp.var.rate: employment variation rate - (numeric)\n\n17 - cons.price.idx: consumer price index - (numeric)\n\n18 - cons.conf.idx: consumer confidence index - (numeric)\n\n19 - euribor3m: euribor 3 month rate - (numeric)\n\n20 - nr.employed: number of employees - (numeric)\n\n## Variável dependente:\n\ny - has the client subscribed a term deposit? (binary: '1','0')\n",
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    },
    {
      "name": "Description",
      "content": "A Seguradora Arapiraca está direcionando uma campanha de telemarketing para um de seus produtos. Porém, antes de iniciar a campanha o gerente responsável entrou em contato com a equipe de ciência de dados, pois tinha algumas preocupações:\n* Durante a campanha de 2019, devido ao incômodo gerado pela ligação, alguns clientes resolveram cancelar suas contas no banco.\n* O valor aplicado para a campanha permite que sejam feitas 2 mil ligações.\n* Espera-se que pelo menos 600 contratos sejam fechados, para garantir a meta da área e evitar a demissão do gerente.\n\nEm 2019, foram realizadas cerca de 42 mil ligações numa campanha para o mesmo produto. A área possui uma base de dados com informações de cada cliente e com a marcação se ele fechou ou não acordo naquela campanha.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
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    },
    {
      "name": "Evaluation",
      "content": "1. Acurácia\nMede o percentual de amostras que são corretamente classificadas, ou seja, todas as amostras positivas e negativas classificadas corretamente em relação ao número total de amostras.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
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}