{
  "fetched_at": "2026-10-20T00:55:07Z",
  "source_url": "https://www.kaggle.com/competitions/ece5300sp21-tree/data",
  "pages": [
    {
      "name": "data-description",
      "content": "The test features are given in `Xts.csv`.  You can make a prediction of the test labels using your code, and then upload the (properly formatted) .csv file to Kaggle, which will score your prediction.  Note that it reports the score on the \"public\" fold of the test partition; there is also a \"private\" fold who's score is reported only to the instructor and TAs.",
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    {
      "name": "Description",
      "content": "This ECE-5300 Sp21 final-project competition is intended for only the tree-based classification methods like random forests and XGBoost.\n\nAfter your model is trained, you would predict the labels of the test features and upload them (in a properly formatted .csv file...see the Evaluation tab to the left) to see how you are doing relative to your classmates.\n\nYour relative performance in this competition will be used as part of your final-project grade.  It is important to enter only **tree-based** classifiers in this contest.  If you upload predictions from a non-tree classifier, points will be deducted.\n\nImportant: you are allowed to submit at most 2 entries per day, so don't wait until the last minute!",
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    {
      "name": "Evaluation",
      "content": "The evaluation metric for this competition is **classification accuracy**.\n\n**Submission Format:**\nSubmission files should be .csv files containing two columns: Id and Label. The Id column should be the integer list 0,1,2,3,...,9216 and the Label column should contain integers from the set {0,1,...,5}. The first row of the file should contain the column labels and the remaining 9217 rows should contain numerical values. For example, the first few rows should look like: <pre>Id,Label<br>0,5<br>1,2<br>2,1<br>3,4</pre>",
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    {
      "name": "rules",
      "content": " - Upload results for only linear models like logistic regression, SVC, SVM\n - Don't upload code!\n - Don't collaborate across teams!\n - Have fun!",
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