{
  "total": 67,
  "topics": [
    {
      "id": 454615,
      "title": "Late Submissions Disabled",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 382539,
      "title": "10th place solution",
      "comment_count": 5,
      "views": 0,
      "votes": 17
    },
    {
      "id": 380984,
      "title": "Plot your model's predictions on logarithmic scale",
      "comment_count": 2,
      "views": 0,
      "votes": 23
    },
    {
      "id": 380975,
      "title": "Research Papers On Credit Card Fraud Detection",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 383307,
      "title": "13th Place Solution - Feature Engineering Rules!!",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 382589,
      "title": "7th place Solution: Ensembling the Flow.",
      "comment_count": 9,
      "views": 0,
      "votes": 22
    },
    {
      "id": 382447,
      "title": "30th Place Solution ",
      "comment_count": 5,
      "views": 0,
      "votes": 28
    },
    {
      "id": 382377,
      "title": "What I've learnt from the first four competitions this year",
      "comment_count": 17,
      "views": 0,
      "votes": 37
    },
    {
      "id": 382443,
      "title": "Don't underestimate solo models - 54th place",
      "comment_count": 6,
      "views": 0,
      "votes": 16
    },
    {
      "id": 382527,
      "title": "How to avoid falling ?",
      "comment_count": 10,
      "views": 0,
      "votes": 13
    },
    {
      "id": 382493,
      "title": "36th place solution",
      "comment_count": 9,
      "views": 0,
      "votes": 9
    },
    {
      "id": 382416,
      "title": "Nice work everyone!",
      "comment_count": 1,
      "views": 0,
      "votes": 14
    },
    {
      "id": 381087,
      "title": "Correlation tells the story",
      "comment_count": 23,
      "views": 0,
      "votes": 46
    },
    {
      "id": 382462,
      "title": "62nd Place Solution",
      "comment_count": 6,
      "views": 0,
      "votes": 8
    },
    {
      "id": 381305,
      "title": "This dataset is different from the original - and more difficult to classify",
      "comment_count": 30,
      "views": 0,
      "votes": 28
    },
    {
      "id": 382519,
      "title": "From public 236 to 98 private (Ensemble 6 models)",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 381872,
      "title": "ROC Curve and AUC",
      "comment_count": 9,
      "views": 0,
      "votes": 7
    },
    {
      "id": 382431,
      "title": "76th (private) 268th (public)... simple XGBoost solution🤷🏻‍♂️",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 381415,
      "title": "I Found The Perfect Cross Validation 📢",
      "comment_count": 34,
      "views": 0,
      "votes": 21
    },
    {
      "id": 381967,
      "title": "Poor Performance with Imbalanced Learning Methods",
      "comment_count": 8,
      "views": 0,
      "votes": 9
    },
    {
      "id": 381455,
      "title": "duplicates in original dataset!",
      "comment_count": 18,
      "views": 0,
      "votes": 31
    },
    {
      "id": 380771,
      "title": "Use your Time wisely",
      "comment_count": 24,
      "views": 0,
      "votes": 44
    },
    {
      "id": 382428,
      "title": "Trusting your cross validation",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 381032,
      "title": "Suspicious amounts",
      "comment_count": 13,
      "views": 0,
      "votes": 30
    },
    {
      "id": 381089,
      "title": "Using the Original Dataset - Adversarial Validation",
      "comment_count": 16,
      "views": 0,
      "votes": 25
    },
    {
      "id": 381483,
      "title": "There are MANY, MANY duplicates in all datasets",
      "comment_count": 2,
      "views": 0,
      "votes": 14
    },
    {
      "id": 381622,
      "title": "Beware of early stopping",
      "comment_count": 14,
      "views": 0,
      "votes": 7
    },
    {
      "id": 381839,
      "title": "Create aggregate features to boost your scores !!",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 381045,
      "title": "Collection of helpful ideas - S3E4",
      "comment_count": 9,
      "views": 0,
      "votes": 17
    },
    {
      "id": 380756,
      "title": "Before calling anything EDA read NIST explanation. Playground Season 3 Ep. 4 is ON!",
      "comment_count": 14,
      "views": 0,
      "votes": 24
    },
    {
      "id": 380746,
      "title": "Reframing this Competition as Outlier Detection",
      "comment_count": 5,
      "views": 0,
      "votes": 11
    },
    {
      "id": 382200,
      "title": "How to improve it ?",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 380889,
      "title": "Comparison of classification algo (for beginners)",
      "comment_count": 6,
      "views": 0,
      "votes": 11
    },
    {
      "id": 382151,
      "title": "Get those submissions in!",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 381524,
      "title": "SMOTE really helps, but ANNs and Boost fails on the real test set. ",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 382046,
      "title": "My conclusions (~0.82 score)",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 380737,
      "title": "Onboarding materials and references",
      "comment_count": 8,
      "views": 0,
      "votes": 26
    },
    {
      "id": 381779,
      "title": "Lets clear some doubts !!",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 381844,
      "title": "Suggestions for a new entry",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 382394,
      "title": "Pearson doesn't find any correlation in the data ??",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 382353,
      "title": "ID most important feature?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 381831,
      "title": "How to deal with models having different feature importances?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 381213,
      "title": "Slow Training",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 381986,
      "title": "Adversarial Validation. High band between train and test!",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 381179,
      "title": "🧐 Can we guess the credit card transaction time? 🧐",
      "comment_count": 6,
      "views": 0,
      "votes": 14
    },
    {
      "id": 381050,
      "title": "AUROC...can we be friends?",
      "comment_count": 6,
      "views": 0,
      "votes": 7
    },
    {
      "id": 380835,
      "title": "Is it time for deep learning?",
      "comment_count": 8,
      "views": 0,
      "votes": 8
    },
    {
      "id": 380739,
      "title": "Extra information about the features",
      "comment_count": 5,
      "views": 0,
      "votes": 9
    },
    {
      "id": 381632,
      "title": "Keep or Drop the outliers ? ",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 381006,
      "title": "Guess your final score",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 381785,
      "title": "How to optimise CV runtime 😑",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 380751,
      "title": "Reducing the chance of a shakeup?",
      "comment_count": 9,
      "views": 0,
      "votes": 9
    },
    {
      "id": 381034,
      "title": "Tips by Kaggle Top \"Fraud Auditors\". Previous insights. V columns? Finding true users..' etc. etc. 😆 😆",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 381376,
      "title": "Lessons from previous financial competitions",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 380848,
      "title": "V1-V28 features. PCA or not?",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 381436,
      "title": "How to approach these types of datasets?",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 380753,
      "title": "EDA | Initial Insights",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 380941,
      "title": "questions about markdown",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 380892,
      "title": "5 model in R with very good performace (Best - 0.83054 with Keras) ",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 380876,
      "title": "[SOLVED] Why my validation score is so high (perfect score)? Is something wrong with my code?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 381046,
      "title": "Progressive leaderboard",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 380773,
      "title": "Principal component analysis already performed on data.",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 380788,
      "title": "What is Time column  ",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 381180,
      "title": "Submission Range",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 380747,
      "title": "What is this shape? It is reoccurring for nearly all features.",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 380938,
      "title": "Occurrences of frauds by the minute of the hour",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 380931,
      "title": "Occurrences of frauds across the train and original data",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}