{
  "fetched_at": "2026-10-24T13:18:55Z",
  "source_url": "https://www.kaggle.com/competitions/checking/data",
  "pages": [
    {
      "name": "data-description",
      "content": "This page appears alongside the data files. It describes what files have been provided and the format of each. There is no single format for this page that is appropriate for all competitions, 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.\n\nParticipants should be able to answer these types of questions after reading the data description:\n\nWhat files do I need?  \nWhat should I expect the data format to be?  \nWhat am I predicting?  \nWhat acronyms will I encounter?\n\n## Files\n\n*   **train.csv** - the training set\n*   **test.csv** - the test set\n*   **sample_submission.csv** - a sample submission file in the correct format\n*   **metaData.csv** - supplemental information about the data\n\n## Data Fields\n\n1.  `school` - student's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira)\n2.  `sex` - student's sex (binary: 'F' - female or 'M' - male)\n3. `age` - student's age (numeric: from 15 to 22)\n4. `address` - student's home address type (binary: 'U' - urban or 'R' - rural)\n5. `famsize` - family size (binary: 'LE3' - less or equal to 3 or 'GT3' - greater than 3)\n6. `Pstatus` - parent's cohabitation status (binary: 'T' - living together or 'A' - apart)\n7. `Medu` - mother's education (numeric: 0 - none, 1 - primary education (4th grade), 2 – 5th to 9th grade, 3 – secondary education or 4 – higher education)\n8. `Fedu` - father's education (numeric: 0 - none, 1 - primary education (4th grade), 2 – 5th to 9th grade, 3 – secondary education or 4 – higher education)\n9. `Mjob` - mother's job (nominal: 'teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other')\n10.  `Fjob` - father's job (nominal: 'teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other')\n11. `reason` - reason to choose this school (nominal: close to 'home', school 'reputation', 'course' preference or 'other')\n12. `guardian` - student's guardian (nominal: 'mother', 'father' or 'other')\n13.  `traveltime` - home to school travel time (numeric: 1 - <15 min., 2 - 15 to 30 min., 3 - 30 min. to 1 hour, or 4 - >1 hour)\n14.  `studytime` - weekly study time (numeric: 1 - <2 hours, 2 - 2 to 5 hours, 3 - 5 to 10 hours, or 4 - >10 hours)\n15.  `failures`- number of past class failures (numeric: n if 1<=n<3, else 4)\n16.  `schoolsup` - extra educational support (binary: yes or no)\n17.  `famsup` - family educational support (binary: yes or no)\n18.  `paid` - extra paid classes within the course subject (Math or Portuguese) (binary: yes or no)\n19.  `activities` - extra-curricular activities (binary: yes or no)\n20.  `nursery`- attended nursery school (binary: yes or no)\n21.  `higher` - wants to take higher education (binary: yes or no)\n22.  `internet` - Internet access at home (binary: yes or no)\n23. `romantic` - with a romantic relationship (binary: yes or no)\n24.  `famrel` - quality of family relationships (numeric: from 1 - very bad to 5 - excellent)\n25.  `freetime` - free time after school (numeric: from 1 - very low to 5 - very high)\n26.  `goout` - going out with friends (numeric: from 1 - very low to 5 - very high)\n27.  `Dalc` - workday alcohol consumption (numeric: from 1 - very low to 5 - very high)\n28.  `Walc` - weekend alcohol consumption (numeric: from 1 - very low to 5 - very high)\n29.  `health` - current health status (numeric: from 1 - very bad to 5 - very good)\n30. `absences`-number of school absences (numeric: from 0 to 93)\n\n #  these grades are related with the course subject, Math or Portuguese:\n31. G1 - first period grade (numeric: from 0 to 20)\n32. G2 - second period grade (numeric: from 0 to 20)\n33. G3 - final grade (numeric: from 0 to 20, output target)",
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      "name": "Description",
      "content": "## CSI RAIT'S Kaggle Competition\n\n### Aim of The Competition\nTo predict final Grade (G3) of each student by the given data about his/her life and time",
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      "name": "Evaluation",
      "content": "### Evaluation Metric: Mean F-Score\n\nSubmissions would be evaluated on the mean F score. In other words, the score is the average of the individual Fscore of each predicted column.\n\n### Submission Format\nYou have to submit a CSV file containing the predicted final grade for every student in the dataset . Submission file should contain two columns: ID and G3.\nG3 would be the predicted probability in the range 0 to 20.  The submission CSV file should contain 95 rows\n\n| Id      | G3 |\n| --------- | -----:|\n| 1  | 14 |\n| 2     |   2 |\n| 3      |    1 |\n",
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    {
      "name": "rules",
      "content": "....",
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