{
  "fetched_at": "2026-10-20T09:36:28Z",
  "source_url": "https://www.kaggle.com/competitions/additionaldatathon23/data",
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      "content": "## Files\n\n*   **train.csv** - the training set\n*   **test.csv** - the test set\n\n\n## About Dataset\nThe given dataset contains few contaminations of the water resources from various states of India. \n<br>\n\n## Columns\n <p>\n* STATION CODE - The id of the station where the data is collected <br>\n* LOCATIONS - Place <br>\n* STATE - State to which the location belongs <br>\n* TEMP - Temperature of water at the time of measuring \n* DO - Dissolved Oxygen in water <br>\n* PH - Acid-base level in water <br>\n* CONDUCTIVITY - Salinity of water <br>\n* BOD - Biochemical oxygen on demand <br>\n* NITRATE - Nitrate and nitrite contamination <br>\n* FECAL - livestock fecal matter presence <br>\n* Row_Id - index of the observation <br>\n</p>\n\n## Literature\nThe parameters given in the dataset are actual Laboratory test scores of the water sample. However, these values of each parameter has to be converted to index values in accordance with standard metric given by World Health Organization. The range for conversion is given below. Derive a suitability percentage accordingly. \n\\``\n```\nDO\nX>6, value=100\n5 to 6, value=80\n4 to 5, value=60\n3 to 4, value=40\nOtherwise, value=0\n\nPH\n7 to 8.5, value=100\n8.5 to 8.6 or 6.8 to 6.9, value=80\n8.6 to 8.8 or 6.7 to 6.8, value=60\n8.8 to 9 or 6.5 to 6.7, value=40\nOtherwise, value=0\n\nCONDUCTIVITY\n0 to 75, value=100\n75 to 150, value=80\n150 to 225, value=60\n225 to 400, value=40\nOtherwise, value=0\n\nBOD\n0 to 3, value=100\n3 to 6, value=80\n6 to 80, value=60\n80 to 125, value=40\nOtherwise, value=0\n\nNITRATE\n0 to 20, value=100\n20 to 50, value=80\n50 to 100, value=60\n100 to 200, value=40\nOtherwise, value=0\n\nFECAL\n0 to 5, value=100\n5 to 50, value=80\n50 to 500, value=60\n500 to 10000, value=40\nOtherwise, value=0\n\nSuitability% = 28.1%(DO)+ 16.5% (PH)+ 28.1%(CONDUCTIVITY)+ 23.4%(BOD)+ 2.8%(NITRATE)+0.9%(FECAL)\n```",
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      "name": "Description",
      "content": "## Introduction\nDrinking water purity varies from place to place. There are many possible sources of contamination, including:\nSewage releases, Naturally occurring chemicals and minerals, Local land use practices(for example, fertilizers, pesticides, livestock fecal), Manufacturing processes (for example, cyanide, nitrate, nitrite), Wastewater treatment systems (for example, septic systems).  It is very essential to determine whether the water is suitable for human well being<br>\n## Problem Statement\nPredict the suitability percentage of water resource. \n<br>\n",
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      "name": "Evaluation",
      "content": "* The student can do 2 submissions. \n* If you have done 2 submissions, then you can select which submission to be considered for evaluation.\n* If you dont select the latest submission will be considered\n\nThe evaluation metric for this competition is \n    `Root mean squared error`\n\n### Submission Format\n\nSubmission file should contain two columns: \n  `Row_Id` and `Suitability`. \n\n\n",
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    {
      "name": "rules",
      "content": "### “Honesty is the fastest way to prevent a mistake, turning into a failure.”\n\n * Don't cheat!\n * Apply yourself!\n * Have fun!",
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