{
  "total": 111,
  "topics": [
    {
      "id": 560543,
      "title": "This Competition has an Official Discord Channel",
      "comment_count": 25,
      "views": 0,
      "votes": 25
    },
    {
      "id": 683735,
      "title": "My First Playground Series: 8-Model Stacked Ensemble with Checkpointing (What Worked, What Didn't",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 565539,
      "title": "1st Place - Single Model - Feature Engineering",
      "comment_count": 102,
      "views": 0,
      "votes": 189
    },
    {
      "id": 564056,
      "title": "Backpack Data Explained - How To Find Signal",
      "comment_count": 56,
      "views": 0,
      "votes": 76
    },
    {
      "id": 565653,
      "title": "3rd Place Solution in Three Words!",
      "comment_count": 16,
      "views": 0,
      "votes": 33
    },
    {
      "id": 565583,
      "title": "5th place: Finding the SigNeedle in the NoiseStack",
      "comment_count": 10,
      "views": 0,
      "votes": 14
    },
    {
      "id": 568879,
      "title": "Need Help Understanding what I did wrong with my Backpack prediction to get suh low R^2 scores",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 565145,
      "title": "Will there be a shake up in this competition?",
      "comment_count": 14,
      "views": 0,
      "votes": 6
    },
    {
      "id": 565542,
      "title": "Rank 2 approach - a century of component feature sets and deep ensemble",
      "comment_count": 22,
      "views": 0,
      "votes": 36
    },
    {
      "id": 564766,
      "title": "Last Week. Good Luck! Have Fun!",
      "comment_count": 22,
      "views": 0,
      "votes": 31
    },
    {
      "id": 565200,
      "title": "Some accessible community competitions for your consideration",
      "comment_count": 5,
      "views": 0,
      "votes": 16
    },
    {
      "id": 563743,
      "title": "Starter Notebook - RAPIDS v25.02 - [LB 38.847]",
      "comment_count": 29,
      "views": 0,
      "votes": 70
    },
    {
      "id": 565547,
      "title": "Such a stable leaderboard!",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 564486,
      "title": "Relationship Between Original Data and Competition Data",
      "comment_count": 15,
      "views": 0,
      "votes": 23
    },
    {
      "id": 564876,
      "title": "Be mindful of extending these feature engineering concepts in real life assignments",
      "comment_count": 10,
      "views": 0,
      "votes": 30
    },
    {
      "id": 564979,
      "title": " Backpack Price Prediction Competition – Final Stretch!",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 565527,
      "title": "Identical Features, Different Prices: A Challenge for Machine Learning",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 563726,
      "title": "This is how I created the dataset 6 months back.",
      "comment_count": 11,
      "views": 0,
      "votes": 15
    },
    {
      "id": 563105,
      "title": "[Suggestion] - Kindly consider organizing few playground episodes for beginners/ new accounts only",
      "comment_count": 7,
      "views": 0,
      "votes": 35
    },
    {
      "id": 565022,
      "title": "Book suggestions for Feature engineering",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 564572,
      "title": "Do you think Visual Studio can help?",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 564987,
      "title": " Improving Model Performance",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 564648,
      "title": "Rounding may improve your score",
      "comment_count": 12,
      "views": 0,
      "votes": null
    },
    {
      "id": 564986,
      "title": "Getting Started with the Backpack Prediction Challenge",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 563603,
      "title": "Supervised Autoencoder Achieves LB38.84771",
      "comment_count": 12,
      "views": 0,
      "votes": 21
    },
    {
      "id": 564600,
      "title": "Optimizing Model Selection and Performance in Backpack Price Prediction  ",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 564935,
      "title": "Data augmentation",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 564225,
      "title": "Could the same backpack have a different price in the training data compared to the test data?",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 564204,
      "title": "My Newly Launched Website",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 564423,
      "title": "TargetEncoder+Feature Expansion & Interaction+PCA=Bigger Error?!",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 564424,
      "title": "How to use 2 GPU for T4 instances",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 564446,
      "title": "Kernel notebook dying",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 564627,
      "title": "encontrar el rmse..",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 564419,
      "title": "Data Insights & Need help data transfer",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 564250,
      "title": "filled_data",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 564391,
      "title": "Uniform distribution or normal distribution?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 563539,
      "title": "features do not show the direct relationship with target Price",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 563601,
      "title": "I think I have reached my limit unless find any ideas of feature engineering",
      "comment_count": 21,
      "views": 0,
      "votes": 1
    },
    {
      "id": 563713,
      "title": "Where can i find the Price for the training?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 560545,
      "title": "Welcome Every one to Share CV/LB Score",
      "comment_count": 32,
      "views": 0,
      "votes": 17
    },
    {
      "id": 563460,
      "title": "How far can the LB go?",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 563655,
      "title": "sklearn target encoder vs cuml target encoder",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 564007,
      "title": "How to properly score my model",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 563430,
      "title": "the Result is always Middle Value😢",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 561801,
      "title": "How to implement Target Encoder?",
      "comment_count": 18,
      "views": 0,
      "votes": 15
    },
    {
      "id": 560561,
      "title": "Reducing Memory usage tips.",
      "comment_count": 8,
      "views": 0,
      "votes": 18
    },
    {
      "id": 563454,
      "title": "Memory Optimization in Kaggle Notebooks",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 561998,
      "title": "Target and One-hot encoding",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 562437,
      "title": "About Deeper Understanding of Machine Learning Models",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 561246,
      "title": "Do we need the train.csv?",
      "comment_count": 12,
      "views": 0,
      "votes": 6
    },
    {
      "id": 562979,
      "title": "Hyperparameters Tunining and Optimization",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 562624,
      "title": "Dear colleagues, please help",
      "comment_count": 12,
      "views": 0,
      "votes": 6
    },
    {
      "id": 563804,
      "title": "other than xgboost and random forest",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 561362,
      "title": "A few positives from my starter work insofar",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 562781,
      "title": "Questions about the notebook",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 560539,
      "title": "Note - target has finite number of distinct categories if viewed as rounded numbers",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 563592,
      "title": "How to improve LP?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 563153,
      "title": "Cleaning data not improving score",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 562321,
      "title": "Ongoing tabular competitions with similar metrics ",
      "comment_count": 3,
      "views": 0,
      "votes": 26
    },
    {
      "id": 561681,
      "title": "A few suggestions for the playground competition episodes",
      "comment_count": 9,
      "views": 0,
      "votes": 35
    },
    {
      "id": 563043,
      "title": "Understanding Datasets",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 563287,
      "title": "PROBLEM of PREDICTING SAME RMSE SCORE (.39+)",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 562707,
      "title": "How to use Kaggle GPU to train my model",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 562290,
      "title": "how to increase the score and how to do hyperparameter tunning ??",
      "comment_count": 12,
      "views": 0,
      "votes": 2
    },
    {
      "id": 561008,
      "title": "Extra training data added",
      "comment_count": 29,
      "views": 0,
      "votes": 37
    },
    {
      "id": 562873,
      "title": "Dealing with noise and improving model's perfomance",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 561284,
      "title": "Signal and noise",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 560532,
      "title": "Starting materials and references",
      "comment_count": 6,
      "views": 0,
      "votes": 20
    },
    {
      "id": 563112,
      "title": "How to use feature engineering",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 562591,
      "title": "Beginner struggling to find an insight😭! Please help",
      "comment_count": 15,
      "views": 0,
      "votes": 1
    },
    {
      "id": 560680,
      "title": "Are you guys continuing with the competition? ",
      "comment_count": 24,
      "views": 0,
      "votes": 24
    },
    {
      "id": 562576,
      "title": "Single Model Or Many?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 561982,
      "title": "Any chance of an AutoML Grand Prix for the year?",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 561859,
      "title": "Price Distribution Variable",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 562063,
      "title": "Uniform to normal distribution.",
      "comment_count": 11,
      "views": 0,
      "votes": 2
    },
    {
      "id": 562714,
      "title": "verry large error",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 562218,
      "title": "why do my plots for the dataset covering the whole screen1!???",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 560669,
      "title": "The target is just noise?",
      "comment_count": 26,
      "views": 0,
      "votes": 25
    },
    {
      "id": 561049,
      "title": "What a beginner can learn from this episode",
      "comment_count": 11,
      "views": 0,
      "votes": 19
    },
    {
      "id": 562182,
      "title": "error in xgboot regression",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 561468,
      "title": "Includes Medals?",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 562209,
      "title": "Submission Format ???",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 562003,
      "title": "Preprocessing for both train and test dataset?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 561836,
      "title": "Residual Plot Interpretation",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 561858,
      "title": "How to submit the first notebook",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 562101,
      "title": "Waiting for my model to run after additional training data.",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 561260,
      "title": "Implement your feature engineering carefully without leakage",
      "comment_count": 0,
      "views": 0,
      "votes": 19
    },
    {
      "id": 561793,
      "title": "Using PyCaret",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 561254,
      "title": "Values for Target Price for Test Set",
      "comment_count": 10,
      "views": 0,
      "votes": 4
    },
    {
      "id": 561512,
      "title": "Please help me about train data!",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 561052,
      "title": "Why does this episode use synthetic data generated from synthetic data?",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 561452,
      "title": "Text to Code generations -->LLM genAI provide better suggestions for ML model improvements and improved code",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 560790,
      "title": "Only stacking possible with this dataset ?",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 561487,
      "title": "cut corner ahahhaha",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 561136,
      "title": "Install RAPIDSAI",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 560593,
      "title": "Why is R2 close to 0?",
      "comment_count": 12,
      "views": 0,
      "votes": 12
    },
    {
      "id": 560909,
      "title": "Share the correlation coefficient between CV and LB",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 561018,
      "title": "Additional data improving the model?",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 561226,
      "title": "Maybe a new way to improve score",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 560964,
      "title": "Can the datasets be changed for an ongoing competition?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 561488,
      "title": "How many submissions are enough for this challenge?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 561233,
      "title": "The ~85K Records at Max Price 150",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 561126,
      "title": "How to deal with overfitting? ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 561293,
      "title": "Discrepancies in Target Distribution: Backpack Prediction Challenge",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 561027,
      "title": "Missing values in the test set",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 561212,
      "title": "RMSE is it a good metric for this competition?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 560572,
      "title": "Has anyone faced a dataset this normalized? What techniques or approaches have helped you extract useful information?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 560887,
      "title": "Simple Mean Model RMSE = 39.039275311505314",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 560835,
      "title": "really bad dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 560614,
      "title": "Is Combining Original Data Effective?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 560892,
      "title": "Is there any other dataset that is similar to this dataset?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    }
  ],
  "errors": []
}