{
  "total": 68,
  "topics": [
    {
      "id": 324231,
      "title": "Welcome to the May 2022 edition of the Tabular Playground Series!",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 325529,
      "title": "Research Papers About Tabular Deep Learning",
      "comment_count": 3,
      "views": 0,
      "votes": 18
    },
    {
      "id": 328441,
      "title": "#4 Solution: Multi-Activation Branches",
      "comment_count": 2,
      "views": 0,
      "votes": 19
    },
    {
      "id": 323766,
      "title": "Interaction vs Correlation",
      "comment_count": 8,
      "views": 0,
      "votes": 53
    },
    {
      "id": 328336,
      "title": "#1 Solution: A Two-Branch Network",
      "comment_count": 20,
      "views": 0,
      "votes": 54
    },
    {
      "id": 328553,
      "title": "#5 Solution (CatBoost + Keras)",
      "comment_count": 6,
      "views": 0,
      "votes": 17
    },
    {
      "id": 323892,
      "title": "Engineering the top three feature interactions",
      "comment_count": 26,
      "views": 0,
      "votes": 71
    },
    {
      "id": 328355,
      "title": "541th Place - 0.97952 - LightGBM + XGBoost + CatBoost Ensemble",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 328286,
      "title": "Learnt So Much",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 327873,
      "title": "[TPS MAY 2022] Good Beginner starter notebooks",
      "comment_count": 1,
      "views": 0,
      "votes": 17
    },
    {
      "id": 327789,
      "title": "GBM vs NN performance on this TPS",
      "comment_count": 3,
      "views": 0,
      "votes": 14
    },
    {
      "id": 326116,
      "title": "Early stopping on loss, auc or accuracy?",
      "comment_count": 8,
      "views": 0,
      "votes": 45
    },
    {
      "id": 328320,
      "title": "lb 0.98139-trained only on 1% test data",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 328022,
      "title": "How to delete scores I submitted already?",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 327363,
      "title": "What is the realistic score for this competition?",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 326526,
      "title": "TPS - May 2022, What I have tried.",
      "comment_count": 3,
      "views": 0,
      "votes": 24
    },
    {
      "id": 322481,
      "title": "Congrats to AmbrosM, a new Kaggle Grand Master !",
      "comment_count": 40,
      "views": 0,
      "votes": 74
    },
    {
      "id": 326465,
      "title": "I achieved a 99% score, but Kaggle ranked me 81%",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 326844,
      "title": "Meta classifier built on seven models ",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 325112,
      "title": "Your notebook tried to allocate more memory than is available. It has restarted.",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 327396,
      "title": "Using a pipeline",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 326115,
      "title": "✔️ Analyze ML models using Google What-If tool (Open source)✔️",
      "comment_count": 1,
      "views": 0,
      "votes": 14
    },
    {
      "id": 327016,
      "title": "Detailed EDA & Feature Interaction Tutorial PDP Plots SHAP Interaction",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 324358,
      "title": "Continuous Feature Interactions Dataset w/ Feature Engine",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 325926,
      "title": "Important Features",
      "comment_count": 4,
      "views": 0,
      "votes": 14
    },
    {
      "id": 322263,
      "title": "Historical Tabular Playground Binary Classification Competitions",
      "comment_count": 9,
      "views": 0,
      "votes": 40
    },
    {
      "id": 326223,
      "title": "How to select numbers of layers and types of functions",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 326031,
      "title": "XGBoost FTW",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 325686,
      "title": "Validation AUC against test AUC",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 324788,
      "title": "📢 First try ! Weight and biases | Build model | Visualize 🚀",
      "comment_count": 6,
      "views": 0,
      "votes": 8
    },
    {
      "id": 325242,
      "title": "Submission using Kaggle API with R",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 324992,
      "title": "can we use all data for training, once we already did with train and validation? ",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 324983,
      "title": "Global vs Local explanation",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 322634,
      "title": "Unofficial R Community - May 2022",
      "comment_count": 5,
      "views": 0,
      "votes": 11
    },
    {
      "id": 323195,
      "title": "Different Cross validation methods",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 322313,
      "title": "XGB Feature Interactions",
      "comment_count": 5,
      "views": 0,
      "votes": 19
    },
    {
      "id": 323982,
      "title": "Problems with Logistic Regression in R",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 324341,
      "title": "a little finding about f_27",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 324200,
      "title": "Top Feature Interactions using Xgbfir ",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 323595,
      "title": "Analysing Interactions with SHAP",
      "comment_count": 2,
      "views": 0,
      "votes": 22
    },
    {
      "id": 324201,
      "title": "How to handle Large amount of Tabular data?",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 324136,
      "title": "Great difference between my notebook's and submission's AUC score",
      "comment_count": 10,
      "views": 0,
      "votes": 4
    },
    {
      "id": 323339,
      "title": "Fast.ai, PyTorch-Tabular, Tensorflow-embed-XGB, PyTorchLighting - Deeplearning framework using Tabular data ! ",
      "comment_count": 10,
      "views": 0,
      "votes": 12
    },
    {
      "id": 324059,
      "title": "【日本語】f_27の処理の仕方（Processing of f_27）",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 323417,
      "title": "Score goes down with CV",
      "comment_count": 5,
      "views": 0,
      "votes": 11
    },
    {
      "id": 323465,
      "title": "Choice of Kaggle merchandise",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 322303,
      "title": "Notebooks to get you started!",
      "comment_count": 5,
      "views": 0,
      "votes": 29
    },
    {
      "id": 324457,
      "title": "Unable to download data with Kaggle API troubles?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 323421,
      "title": "How to find some useful feature interactions",
      "comment_count": 2,
      "views": 0,
      "votes": 13
    },
    {
      "id": 323791,
      "title": "What's with this f_27 column?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 322484,
      "title": "First thoughts!",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 323145,
      "title": "Is there anyway to get +95% on submission without using anykind of nn",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 322534,
      "title": "Feature f_27 and hidden information",
      "comment_count": 16,
      "views": 0,
      "votes": 23
    },
    {
      "id": 322673,
      "title": "Looking for a Team Megathread",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 323306,
      "title": "How to predict probability values for each index",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 323155,
      "title": "Is there a rule to submit prediction with unto 2 decimal places?",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 322787,
      "title": "Need suggestion: When we need to take look at public work/discussion? ",
      "comment_count": 5,
      "views": 0,
      "votes": 9
    },
    {
      "id": 322296,
      "title": "Why AUC might be better than accuracy?",
      "comment_count": 15,
      "views": 0,
      "votes": 26
    },
    {
      "id": 322446,
      "title": "Interaction constraints in XGBoost, LightGBM and CatBoost",
      "comment_count": 2,
      "views": 0,
      "votes": 14
    },
    {
      "id": 322672,
      "title": "New to Machine Learning or to Kaggle? Check this out.",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 322459,
      "title": "Interesting Playground",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 322943,
      "title": "urgent value of target in test",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 322294,
      "title": "Challenge Log for May 2022 Challenge",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 322668,
      "title": "Fastai-Tabular! one of best framework",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 322482,
      "title": "about prices",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 322318,
      "title": "An interesting kind of sensor distribution",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 322334,
      "title": "EDA, PCA and MI didn't get me far",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 322326,
      "title": "target_variable",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}