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  "fetched_at": "2026-10-24T18:56:21Z",
  "source_url": "https://www.kaggle.com/competitions/data-science-nigeria-instagram-marketing-ad/data",
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      "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!",
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      "content": "### CORAY GROUP AD CONVERSION RATE PREDICTION\n\n<p>Coray Inc. is a registered beverage seller that wants to run a new Instagram marketing campaign. They have done multiple campaigns in the past and wants you to build a machine learning model to help them predict total conversions. Features about the ad and the user, plus the duration of the campaign is provided.</p>\n\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>data_desc.csv</strong> - supplemental information about the data</li>\n</ul>\n\n<h2>Data fields</h2>\n<ul>\n    <li><strong>id:</strong> \"Unique identifier for the nstances\"</li>\n    <li><strong>ad_start:</strong> \"The start date of the advert campaign\"</li>\n    <li><strong>ad_end:</strong>  \"The end date of the advert campaign\"</li>\n    <li><strong>campaign_id:</strong>  \"The unique campaign identifier\"</li>\n     <li><strong>ig_campaign_id:</strong>  \"Unique ID assigned by Instagram\"</li>\n     <li><strong>age:</strong> \"The age range of the target users\"</li>\n     <li><strong>sex: </strong> \"The gender of the target user\"</li>\n     <li><strong>interest1:</strong>  \"Anonymized interest1 of the target user\"</li>\n     <li><strong>interest2:</strong>  \"Anonymized interest2 of the target user\"</li>\n     <li><strong>interest3:</strong>  \"Anonymized interest3 of the target user\"</li>\n     <li><strong>impressions:</strong> \"impressions are the total number of times your content could have been seen\"</li>\n     <li><strong>no_clicks: </strong> \"Number of times the post was clicked\"</li>\n     <li><strong>money_spent:</strong>  \"Amount of money in USD spent on the advert\"</li>\n     <li><strong>total_conversion (Target feature):</strong>  \"The conversion rate is the percentage of people who took an action such as filling out a lead form, making a purchase.\"</li>\n</ul>",
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      "name": "Description",
      "content": "### CORAY GROUP AD CONVERSION RATE PREDICTION\n\n<p>Coray Inc. is a registered beverage seller that wants to run a new Instagram marketing campaign. They have done multiple campaigns in the past and wants you to build a machine learning model to help them predict total conversions. Features about the ad and the user, plus the duration of the campaign is provided.</p>\n\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>data_desc.csv</strong> - supplemental information about the data</li>\n</ul>\n\n<h2>Data fields</h2>\n<ul>\n    <li><strong>id:</strong> \"Unique identifier for the nstances\"</li>\n    <li><strong>ad_start:</strong> \"The start date of the advert campaign\"</li>\n    <li><strong>ad_end:</strong>  \"The end date of the advert campaign\"</li>\n    <li><strong>campaign_id:</strong>  \"The unique campaign identifier\"</li>\n     <li><strong>ig_campaign_id:</strong>  \"Unique ID assigned by Instagram\"</li>\n     <li><strong>age:</strong> \"The age range of the target users\"</li>\n     <li><strong>sex: </strong> \"The gender of the target user\"</li>\n     <li><strong>interest1:</strong>  \"Anonymized interest1 of the target user\"</li>\n     <li><strong>interest2:</strong>  \"Anonymized interest2 of the target user\"</li>\n     <li><strong>interest3:</strong>  \"Anonymized interest3 of the target user\"</li>\n     <li><strong>impressions:</strong> \"impressions are the total number of times your content could have been seen\"</li>\n     <li><strong>no_clicks: </strong> \"Number of times the post was clicked\"</li>\n     <li><strong>money_spent:</strong>  \"Amount of money in USD spent on the advert\"</li>\n     <li><strong>total_conversion (Target feature):</strong>  \"The conversion rate is the percentage of people who took an action such as filling out a lead form, making a purchase.\"</li>\n</ul>",
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    {
      "name": "Evaluation",
      "content": "The evaluation metric for this competition is the [Mean Absolute Error](https://en.wikipedia.org/wiki/Mean_absolute_error). The Mean Absolute Error, commonly used in information retrieval, measures the error rate between the predicted class and the true/ground class. \n\n<h2>Submission Format</h2>\n<p><strong>For every ad in the dataset</strong>, submission files should contain two columns: ad_id and total_conversion.</p>\n<p>The file should contain a header and have the following format:</p>\n<pre>ad_id,total_conversion<br />779608,2<br /><span style=\"font-size: 14px; line-height: 1.4em;\">779634,8<br />536526,6<br /></span><span style=\"font-size: 14px; line-height: 1.4em;\">452467,10<br /></span></pre>",
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