{
  "total": 110,
  "topics": [
    {
      "id": 549540,
      "title": "This Competition has an Official Discord Channel",
      "comment_count": 8,
      "views": 0,
      "votes": 10
    },
    {
      "id": 533165,
      "title": "Get started here!",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 554328,
      "title": "1st Place - Single Model - Feature Engineering",
      "comment_count": 100,
      "views": 0,
      "votes": 233
    },
    {
      "id": 549836,
      "title": "Did anyone try the new TabM?",
      "comment_count": 9,
      "views": 0,
      "votes": 12
    },
    {
      "id": 552165,
      "title": "Relationship between NAN and Target",
      "comment_count": 87,
      "views": 0,
      "votes": 126
    },
    {
      "id": 554505,
      "title": "Rank 2 approach - brute force ensembling (118 oofs)",
      "comment_count": 8,
      "views": 0,
      "votes": 27
    },
    {
      "id": 560134,
      "title": "Why simple linear Regression giving a bad score?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 557703,
      "title": "Can someone help me Improve my ANN Regression model?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 554377,
      "title": "9th place solution: With a little help from my (Kaggle) friends",
      "comment_count": 9,
      "views": 0,
      "votes": 29
    },
    {
      "id": 556074,
      "title": "notebook based on the first place solution comparison",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 556974,
      "title": "Why RMSLE??",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 554373,
      "title": "6th Place Solution: Enhancing Features with Binned and RMSE-Optimized CatBoost Predictions",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 554223,
      "title": "What additions do you seek in the next season of the Playground series?",
      "comment_count": 26,
      "views": 0,
      "votes": 24
    },
    {
      "id": 554332,
      "title": "Rank 10 approach - FE + brute force models + ensemble",
      "comment_count": 5,
      "views": 0,
      "votes": 21
    },
    {
      "id": 554335,
      "title": "Visualizing the leaderboard ",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 554746,
      "title": "7th place solution: ensemble of 10 models",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 554394,
      "title": "I want to say thank you ",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 554371,
      "title": "High Runtime for the Large dataset",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 554287,
      "title": "why is a \"good \" prediction way off ?",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 554341,
      "title": "Feature engineering and modeling",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 553608,
      "title": "Is Stacking effective for this task?",
      "comment_count": 12,
      "views": 0,
      "votes": 5
    },
    {
      "id": 554112,
      "title": "Will the next episode start on Jan1/ Jan2?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 554220,
      "title": "Do Blended Notebooks Work on Private Test Data When Using Other Notebooks' Submissions?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 554323,
      "title": "Save version failed ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 553951,
      "title": "Submission clarification",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 551423,
      "title": "I have an idea that I hope will help us😊",
      "comment_count": 13,
      "views": 0,
      "votes": 2
    },
    {
      "id": 553973,
      "title": "Breaking Policy Start Date Feature",
      "comment_count": 0,
      "views": 0,
      "votes": -3
    },
    {
      "id": 552928,
      "title": "New playground cloned competition with $16k total prize!",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 553324,
      "title": "Preprocessing for SLE Loss and RMSLE Evaluation in XGBoost.",
      "comment_count": 12,
      "views": 0,
      "votes": 1
    },
    {
      "id": 553025,
      "title": "Numerical feature processing",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 553177,
      "title": "About the loss",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 552875,
      "title": "No hyperparameter",
      "comment_count": 14,
      "views": 0,
      "votes": 3
    },
    {
      "id": 552568,
      "title": "Analysis on NaN values.",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 552713,
      "title": "Which approaches would be a good choice when starting to build models?",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 553000,
      "title": "NaN filling by maintaining statistical distribution.",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 549144,
      "title": "References and starter materials ",
      "comment_count": 2,
      "views": 0,
      "votes": 35
    },
    {
      "id": 552885,
      "title": "Experiment (explained): Splitting between NaNs & Not NaNs",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 552336,
      "title": "Kaggle kernels environment update",
      "comment_count": 2,
      "views": 0,
      "votes": 15
    },
    {
      "id": 552359,
      "title": "Best way to scale?",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 552733,
      "title": "Imputing NA & Removing Outliers Made my score extremely less? Why is that?",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 552312,
      "title": "Outlier processing",
      "comment_count": 14,
      "views": 0,
      "votes": 5
    },
    {
      "id": 552384,
      "title": "Is holidays?",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 552434,
      "title": "Using OOF predictions along base data",
      "comment_count": 10,
      "views": 0,
      "votes": 4
    },
    {
      "id": 551228,
      "title": "scikit-learn 1.6.0 is the stable version now",
      "comment_count": 6,
      "views": 0,
      "votes": 18
    },
    {
      "id": 550868,
      "title": "New Kaggle Tabular Data Competition for Prizes!",
      "comment_count": 12,
      "views": 0,
      "votes": 51
    },
    {
      "id": 552374,
      "title": "Hyperparameter optimization",
      "comment_count": 11,
      "views": 0,
      "votes": 3
    },
    {
      "id": 552175,
      "title": "Some Doubts about an approach in CAtboost with Optuna | Long Post | Please help me understand ",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 551851,
      "title": "1.0149 in CV Test - But 1.06379 in Public Score",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 552240,
      "title": "Results and tests I did.",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 551732,
      "title": "How to prevent over-fitting?? (LightGBM)",
      "comment_count": 14,
      "views": 0,
      "votes": 2
    },
    {
      "id": 549741,
      "title": "Why does log-transforming the target produce better results?",
      "comment_count": 12,
      "views": 0,
      "votes": 4
    },
    {
      "id": 552013,
      "title": "Average of Multi model vs. single model made by optuna.",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 549909,
      "title": "The Magic Middle - Median, Mean, or Exponented Mean Log 1p?",
      "comment_count": 12,
      "views": 0,
      "votes": 62
    },
    {
      "id": 552286,
      "title": "Insurance Math",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 551206,
      "title": "How to improve the error contribution from the left mode?",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 552025,
      "title": "Why are scores inconsistent",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 551907,
      "title": "Same time values in Policy Start Date",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 549149,
      "title": "Regarding the eval metric",
      "comment_count": 24,
      "views": 0,
      "votes": 32
    },
    {
      "id": 551259,
      "title": "Some more tabular competitions with relevant use-cases ",
      "comment_count": 2,
      "views": 0,
      "votes": 15
    },
    {
      "id": 550627,
      "title": "How to handle missing values.",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 551870,
      "title": "Is the Start Policy Date a Valuable Feature or Should We Drop It?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 551639,
      "title": "Should I use optuna with cross validation or  train test split",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 550478,
      "title": "How far ahead can we optimize the metric in the competition?",
      "comment_count": 17,
      "views": 0,
      "votes": 2
    },
    {
      "id": 549662,
      "title": "It might sound weird, but null values in Marital Status might not be missing by random",
      "comment_count": 6,
      "views": 0,
      "votes": 10
    },
    {
      "id": 552214,
      "title": "Insurance Type ?",
      "comment_count": 1,
      "views": 0,
      "votes": -3
    },
    {
      "id": 551266,
      "title": "How can I increase my score in this competition?",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 550676,
      "title": "Pretty good score - 1.04 but rSquared sucks.",
      "comment_count": 18,
      "views": 0,
      "votes": 5
    },
    {
      "id": 550896,
      "title": "Right Strategy to fill NaNs in uniformly distributed data?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 551858,
      "title": "We can have some discussion, which aspect is more important in this competition",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 551418,
      "title": "What algorithm do we have to choose?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 549392,
      "title": "Alternative UDF for the eval metric ",
      "comment_count": 6,
      "views": 0,
      "votes": 12
    },
    {
      "id": 551264,
      "title": "Distributed JAX training example",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 549959,
      "title": "A competitive algorithm that you may not be aware of",
      "comment_count": 10,
      "views": 0,
      "votes": 36
    },
    {
      "id": 551686,
      "title": "Target Encoding",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 551125,
      "title": "Some interesting questions",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 551494,
      "title": "Create features based on dates",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 551684,
      "title": "What are your data inspection strategies?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 550350,
      "title": "Best 2 Public Notebooks",
      "comment_count": 13,
      "views": 0,
      "votes": 24
    },
    {
      "id": 551452,
      "title": "Has grouping helped in decreasing RMSLE? ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 550664,
      "title": "Model's perfomance with non correlated features",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 551138,
      "title": "Seeking Guidance: Next Steps for a Kaggle Beginner",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 551170,
      "title": "Structuring a local workflow",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 550546,
      "title": "When and Why to Apply Log Transformation on Features Like Annual Income?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 549788,
      "title": "Again about early stopping and CV?",
      "comment_count": 21,
      "views": 0,
      "votes": 18
    },
    {
      "id": 551027,
      "title": "Submission score",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 550963,
      "title": "Is DSA required for ML or data science?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 550756,
      "title": "Partial Dependency for Annual Income",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 550534,
      "title": "High run time of my code",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 550730,
      "title": "How to Become an Expert in Machine Learning?",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 549164,
      "title": " Most effective ways to use regression analysis in insurance: Risk factors.",
      "comment_count": 3,
      "views": 0,
      "votes": 14
    },
    {
      "id": 550439,
      "title": "How to Handle Missing Values in the 'Annual Income' Column?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 549332,
      "title": "A significant difference between train and original dataset",
      "comment_count": 7,
      "views": 0,
      "votes": 26
    },
    {
      "id": 549878,
      "title": "Negative target in prediction",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 549226,
      "title": "What is the insurance for??",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 549336,
      "title": "How to make your life easier by transforming the target variable & other ideas",
      "comment_count": 8,
      "views": 0,
      "votes": 20
    },
    {
      "id": 550592,
      "title": "LightGBM vs XGBoost:which one to use and when?",
      "comment_count": 1,
      "views": 0,
      "votes": -5
    },
    {
      "id": 549921,
      "title": " Seeking Help for Optuna Hyperparameter Tuning Issues",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 549195,
      "title": "A tip on how you can shortcut your EDA",
      "comment_count": 3,
      "views": 0,
      "votes": 17
    },
    {
      "id": 549383,
      "title": "Don't do imputation blindly \"most frequent\"  & \"Mean\"  🙅‍♂️",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 549691,
      "title": "Handling 'Policy Start Date' - Cyclical Features",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 549904,
      "title": "Help. I tried  to import the metric",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 549261,
      "title": "Annual Income Null Values",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 549673,
      "title": "About Early Stopping",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 549299,
      "title": "An useful extension that i use",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 549785,
      "title": "Training-Test Adversial Validation reg",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 549145,
      "title": "Dataset Description",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 549394,
      "title": " Looking for Teammates for Regression with an Insurance Dataset – ML Enthusiast Seeking Collaboration",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 549634,
      "title": "The potential of conformal prediction",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 549203,
      "title": "😉 Some backgrounds on pricing the data from a inssurance prespective 😉",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 549424,
      "title": "How to group data in this competition?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}