{ "total": 701, "topics": [ { "id": 188866, "title": "New to Machine Learning or Kaggle? Come say Hi!", "comment_count": 93, "views": 0, "votes": 53 }, { "id": 188862, "title": "Welcome to the competition!", "comment_count": 50, "views": 0, "votes": 40 }, { "id": 209892, "title": "Leaderboard Finalized - Congratulations to the Winners; Recap", "comment_count": 8, "views": 0, "votes": 47 }, { "id": 211668, "title": "Resources for Budding AIEd Enthusiasts", "comment_count": 3, "views": 0, "votes": 11 }, { "id": 209340, "title": "Post-Challenge Survey", "comment_count": 19, "views": 0, "votes": 31 }, { "id": 190721, "title": "Greetings from the Host", "comment_count": 19, "views": 0, "votes": 38 }, { "id": 209585, "title": "3rd place solution (0.818 LB): The Transformer", "comment_count": 37, "views": 0, "votes": 162 }, { "id": 209014, "title": "IMPORTANT - Noteboooks don't work !!! Submission not possible !!!", "comment_count": 21, "views": 0, "votes": 17 }, { "id": 208356, "title": "Meme thread", "comment_count": 31, "views": 0, "votes": 54 }, { "id": 201481, "title": "From Bayesian to Transformers - Tracing the 'Knowledge Tracing' models over time", "comment_count": 13, "views": 0, "votes": 99 }, { "id": 377239, "title": "Datasets of Learning management system 'LMS' traces", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 192138, "title": "New to transformers? Some resources", "comment_count": 4, "views": 0, "votes": 32 }, { "id": 191696, "title": "Running out of coffee", "comment_count": 24, "views": 0, "votes": 69 }, { "id": 209589, "title": "An interesting feature.", "comment_count": 15, "views": 0, "votes": 27 }, { "id": 308104, "title": "set path to env", "comment_count": 2, "views": 0, "votes": null }, { "id": 192124, "title": "Submission scoring error - possible reasons collection", "comment_count": 80, "views": 0, "votes": 219 }, { "id": 205409, "title": "Does someone encounter the import error？", "comment_count": 1, "views": 0, "votes": null }, { "id": 209576, "title": "52nd place brief write up [priv 0.802 / GBDTs]", "comment_count": 9, "views": 0, "votes": 42 }, { "id": 210113, "title": "2nd Place Solution (LSTM-Encoded SAKT-like TransformerEncoder)", "comment_count": 50, "views": 0, "votes": 207 }, { "id": 209659, "title": "24th Place Solution saintpp + lgb private0.810", "comment_count": 4, "views": 0, "votes": 28 }, { "id": 209596, "title": "[0.805 Private, 42nd place] LGB + 5 RAINT+ Ensemble", "comment_count": 9, "views": 0, "votes": 19 }, { "id": 209580, "title": "403 place solution", "comment_count": 4, "views": 0, "votes": 9 }, { "id": 209586, "title": "[0.801 Private, 60th place] Single LGB using 1% of data", "comment_count": 19, "views": 0, "votes": 77 }, { "id": 206529, "title": "Tricks & Tips to Dramatically Speed Up Submission Running", "comment_count": 12, "views": 0, "votes": 46 }, { "id": 191751, "title": "FTRL with incremental learning", "comment_count": 14, "views": 0, "votes": 53 }, { "id": 206871, "title": "[SOLVED] Loading models trained in Colab or google cloud platform ", "comment_count": 15, "views": 0, "votes": 5 }, { "id": 196840, "title": "LGBM model taking more time to train on GPU than CPU", "comment_count": 2, "views": 0, "votes": 7 }, { "id": 189310, "title": "How to install riiideducation Python module?", "comment_count": 12, "views": 0, "votes": 3 }, { "id": 218318, "title": "[1st place solution] Last Query Transformer RNN", "comment_count": 25, "views": 0, "votes": 170 }, { "id": 200951, "title": "[Xgboost] - Running using TPU", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 239853, "title": "Have anyone successfully submitted 3rd place solution (0.818 LB) to Kaggle?", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 236665, "title": "NAKTM Model from Zhang et al. 2020", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 194917, "title": "Your Notebook cannot use internet access in this competition. Please disable internet in the Notebook editor and save a new version.", "comment_count": 6, "views": 0, "votes": 5 }, { "id": 210414, "title": "Late Submission running for hours and stuck", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 218148, "title": "RIIID - top paper solutions", "comment_count": 4, "views": 0, "votes": 23 }, { "id": 210171, "title": "4th place solution : Single Transformer Model", "comment_count": 39, "views": 0, "votes": 124 }, { "id": 212090, "title": "149th solution write up (LGBM + Transformer ensemble)", "comment_count": 2, "views": 0, "votes": 10 }, { "id": 209587, "title": "20th solution, transformer encoder only model (SERT) with code and notebook", "comment_count": 18, "views": 0, "votes": 48 }, { "id": 211046, "title": "where is the 1th place solution", "comment_count": 14, "views": 0, "votes": 11 }, { "id": 188911, "title": "Papers on Knowledge Tracing and Education", "comment_count": 33, "views": 0, "votes": 158 }, { "id": 210683, "title": "Riiid! Shakeup scatterplot", "comment_count": 6, "views": 0, "votes": 11 }, { "id": 209581, "title": "6th Place Solution: Very Custom GRU", "comment_count": 24, "views": 0, "votes": 146 }, { "id": 209683, "title": "12th place solution NN part with code", "comment_count": 11, "views": 0, "votes": 58 }, { "id": 200938, "title": "Is TabNet better than GBT?", "comment_count": 17, "views": 0, "votes": 28 }, { "id": 210552, "title": "#8 solution: Ensemble of 15 same NN models", "comment_count": 10, "views": 0, "votes": 40 }, { "id": 210354, "title": "9th place solution : 6 Transformers + 2 LightGBMs", "comment_count": 16, "views": 0, "votes": 74 }, { "id": 209713, "title": "17th place solution - 4 features model", "comment_count": 20, "views": 0, "votes": 63 }, { "id": 209635, "title": "12th place Solution", "comment_count": 12, "views": 0, "votes": 74 }, { "id": 210239, "title": "My first competition using only RAPIDS", "comment_count": 3, "views": 0, "votes": 30 }, { "id": 209597, "title": "18th place solution", "comment_count": 24, "views": 0, "votes": 98 }, { "id": 211451, "title": "Riiid with no NNs, LGBMs, or CV (0.763 private)", "comment_count": 0, "views": 0, "votes": 7 }, { "id": 209798, "title": "16th Place - Single Model", "comment_count": 54, "views": 0, "votes": 69 }, { "id": 211321, "title": "Attempts to train multiclass against actual user_answer[0..3]?", "comment_count": 3, "views": 0, "votes": 3 }, { "id": 211730, "title": "Why Transformers are so powerful?", "comment_count": 1, "views": 0, "votes": null }, { "id": 210275, "title": "First year of DS, first competition, first medal .. 39th !", "comment_count": 8, "views": 0, "votes": 14 }, { "id": 209622, "title": "Public/Private 13th solution (team takoi + kurupical)", "comment_count": 14, "views": 0, "votes": 65 }, { "id": 207875, "title": "Private Score Release", "comment_count": 35, "views": 0, "votes": 69 }, { "id": 209577, "title": "Only LGBMs. Private 71st LB 0.800 ", "comment_count": 18, "views": 0, "votes": 41 }, { "id": 209628, "title": "[LB 125th Position - .795] Pure Feature Engineering .(3M pkl files) Comp & Solution", "comment_count": 14, "views": 0, "votes": 26 }, { "id": 210715, "title": "126th place solution - LGBM with B-IRT features (LB 0.795)", "comment_count": 0, "views": 0, "votes": 11 }, { "id": 209694, "title": "11th Place Solution", "comment_count": 7, "views": 0, "votes": 54 }, { "id": 209603, "title": "How did you handle software design/engineering?", "comment_count": 9, "views": 0, "votes": 2 }, { "id": 210025, "title": "21st Place Solution - Ensemble of 3 Saint++ Models", "comment_count": 14, "views": 0, "votes": 26 }, { "id": 210041, "title": "28th place solution", "comment_count": 4, "views": 0, "votes": 28 }, { "id": 207068, "title": "Not a feather file ", "comment_count": 6, "views": 0, "votes": 2 }, { "id": 209641, "title": "A compilation of solutions", "comment_count": 8, "views": 0, "votes": 35 }, { "id": 209303, "title": "SAINT Debug Tips | Last Day & All the best for everyone", "comment_count": 36, "views": 0, "votes": 31 }, { "id": 209711, "title": "22nd Place Solution: Just Encoder Modules", "comment_count": 9, "views": 0, "votes": 24 }, { "id": 209583, "title": "LB 0.796 single LightGBM model with Train/Infer code[updating some ideas]", "comment_count": 8, "views": 0, "votes": 22 }, { "id": 210276, "title": "39th Solution", "comment_count": 2, "views": 0, "votes": 12 }, { "id": 209584, "title": "[70th] My transformer solution (with code)", "comment_count": 5, "views": 0, "votes": 27 }, { "id": 209598, "title": "Incompatibilities between the Kaggle platform and this kind of dataset", "comment_count": 9, "views": 0, "votes": 24 }, { "id": 209793, "title": "58th solution: SAINT+ based predicts user_answer and then answered_correctly", "comment_count": 6, "views": 0, "votes": 15 }, { "id": 209689, "title": "38th place solution: Single SAINT+", "comment_count": 3, "views": 0, "votes": 36 }, { "id": 209615, "title": "SAINT+ Model with code [Private 0.800 / 68th place]", "comment_count": 13, "views": 0, "votes": 24 }, { "id": 209629, "title": "[62nd solution, LB: 0.801] Single light GBM with 113 features", "comment_count": 6, "views": 0, "votes": 33 }, { "id": 209604, "title": "Single lgb, 0.794, 23 features", "comment_count": 8, "views": 0, "votes": 28 }, { "id": 209599, "title": "76th Place Solution | Minimal SAINT+ Model!", "comment_count": 1, "views": 0, "votes": 22 }, { "id": 210215, "title": "A strong feature about task_container_id", "comment_count": 0, "views": 0, "votes": 8 }, { "id": 209624, "title": "37th place solution (Transformer part)", "comment_count": 0, "views": 0, "votes": 25 }, { "id": 209619, "title": "158th Solution LGBM + FTRL, Private LB: 0793", "comment_count": 2, "views": 0, "votes": 18 }, { "id": 209816, "title": "My personnal journey through the RIID competition - Silver LGB single model", "comment_count": 3, "views": 0, "votes": 13 }, { "id": 209625, "title": "Well done guys -Simple 24th Place Solution Overview", "comment_count": 7, "views": 0, "votes": 15 }, { "id": 209943, "title": "One small request to teams using my dataset", "comment_count": 3, "views": 0, "votes": 5 }, { "id": 209873, "title": "Did anyone manage to build a solution involving re-training of a model during inference?", "comment_count": 1, "views": 0, "votes": 4 }, { "id": 208031, "title": "15X Faster Precise AUC Calculation", "comment_count": 9, "views": 0, "votes": 31 }, { "id": 209666, "title": "Now that the competition ended, can we know why submissions fail randomly?", "comment_count": 16, "views": 0, "votes": 7 }, { "id": 209616, "title": "A Tribute to Awesome Kernels and Sharing !", "comment_count": 2, "views": 0, "votes": 9 }, { "id": 210497, "title": "Are the public and private test sets available?", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 209396, "title": "用4G内存处理200+的特征", "comment_count": 30, "views": 0, "votes": -22 }, { "id": 209611, "title": "Wow!! Fun Comp", "comment_count": 0, "views": 0, "votes": 11 }, { "id": 209508, "title": "shake up or not shake up?", "comment_count": 14, "views": 0, "votes": 5 }, { "id": 199415, "title": "Deleting objects from GPU memory", "comment_count": 3, "views": 0, "votes": 3 }, { "id": 209575, "title": "Congrats to all the winners!", "comment_count": 0, "views": 0, "votes": 10 }, { "id": 210134, "title": "the simplest numpy solution with a robust 744", "comment_count": 1, "views": 0, "votes": 3 }, { "id": 209634, "title": "Positional Embedding Done Right", "comment_count": 0, "views": 0, "votes": 8 }, { "id": 209692, "title": "What kind of tasks would you be interested in tackling for the next AIEd Challenge?", "comment_count": 2, "views": 0, "votes": 5 }, { "id": 209753, "title": "When can we get the medal for this competition?", "comment_count": 5, "views": 0, "votes": 4 }, { "id": 209474, "title": "Why my LGB score is struck at 0.785 ? ", "comment_count": 14, "views": 0, "votes": 2 }, { "id": 209513, "title": "Updating User Last N Sequence for Transformer Model in O(1) Time Complexity", "comment_count": 0, "views": 0, "votes": 6 }, { "id": 208912, "title": "Quick Pandas tips for feature engineering", "comment_count": 8, "views": 0, "votes": 12 }, { "id": 209911, "title": "Can Riiid! benefit from this Challenge?", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 209475, "title": "To which competition are you guys headed next?", "comment_count": 11, "views": 0, "votes": 2 }, { "id": 209591, "title": "Anyone successfully use user historical performance as features for Transformer models?", "comment_count": 1, "views": 0, "votes": 3 }, { "id": 209800, "title": "encoder self-attention : pay attention to questions in the same bunlde", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 209548, "title": "Did you write a train loader to mimic to the test for your transformer-based models?", "comment_count": 4, "views": 0, "votes": 2 }, { "id": 209222, "title": "submission ERROR ", "comment_count": 9, "views": 0, "votes": 3 }, { "id": 209385, "title": "When will the private leaderboard be revealed ? ", "comment_count": 5, "views": 0, "votes": 1 }, { "id": 209196, "title": "Dict/List Persistent Storage", "comment_count": 8, "views": 0, "votes": 5 }, { "id": 208839, "title": " How to determine which notebook is best?", "comment_count": 14, "views": 0, "votes": null }, { "id": 209644, "title": "Submission rejected. Was prediction for lecture (content_type_id=-1) necessary? ", "comment_count": 7, "views": 0, "votes": 1 }, { "id": 208244, "title": "Users guessing the answer correct/wrong based on 'correct_answer' trend", "comment_count": 8, "views": 0, "votes": 3 }, { "id": 209636, "title": "What's next for Riiid?", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 209614, "title": "Congratulations and looking forward to learn from top winners' 0.810+ nn models", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 209633, "title": "Transformer Pretraining? Did anyone try it?", "comment_count": 5, "views": 0, "votes": null }, { "id": 207003, "title": "Let's stop publishing easy to fork high scoring notebooks.", "comment_count": 47, "views": 0, "votes": 63 }, { "id": 209688, "title": "\"Submitted after Competition deadline\" when I submitted it before the end of the competition deadline?", "comment_count": 4, "views": 0, "votes": null }, { "id": 209442, "title": "Medal Range and Regrets ", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 209458, "title": "Another infra changes adding to Misery", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 207434, "title": "Temporal Features pt2", "comment_count": 32, "views": 0, "votes": 13 }, { "id": 207390, "title": "Is this my real private score?", "comment_count": 50, "views": 0, "votes": 49 }, { "id": 209313, "title": "TPU pytorch install question", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 209471, "title": "Can I choose an unfinished submission？", "comment_count": 3, "views": 0, "votes": 0 }, { "id": 209446, "title": "Reminder: Don't publish high score kernels final week", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 208203, "title": "How do you determine features that cause overfitting in LGBM ?", "comment_count": 5, "views": 0, "votes": 10 }, { "id": 209226, "title": "Where is my submissions?", "comment_count": 12, "views": 0, "votes": 1 }, { "id": 209108, "title": "Use of this Dataset for Research Publictation", "comment_count": 6, "views": 0, "votes": 1 }, { "id": 209456, "title": "results are different between inference by cpu and gpu", "comment_count": 1, "views": 0, "votes": null }, { "id": 205368, "title": "Look evenly to all data", "comment_count": 45, "views": 0, "votes": 31 }, { "id": 209362, "title": "How is the final result calculated based on our 2 selected submissions?", "comment_count": 2, "views": 0, "votes": null }, { "id": 208831, "title": "Data set per iteration", "comment_count": 4, "views": 0, "votes": 2 }, { "id": 209288, "title": "Submission Question", "comment_count": 1, "views": 0, "votes": null }, { "id": 209187, "title": "Pickling and loading nested defaultdict with a lambda function as the default value", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 207922, "title": "Final sprint!", "comment_count": 6, "views": 0, "votes": 18 }, { "id": 209281, "title": "Using Graphs", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 204801, "title": "What's your best score single model?", "comment_count": 66, "views": 0, "votes": 39 }, { "id": 208886, "title": "how to select features", "comment_count": 7, "views": 0, "votes": 1 }, { "id": 208740, "title": "Is there a way to reduce memory usage when loading pickle files?", "comment_count": 1, "views": 0, "votes": 3 }, { "id": 208426, "title": "Should I embrace some target leakage in my validation?", "comment_count": 6, "views": 0, "votes": 1 }, { "id": 209051, "title": "CNN for Individual Students", "comment_count": 1, "views": 0, "votes": null }, { "id": 207135, "title": "About d_model and embedding's output dimensions in saint+", "comment_count": 33, "views": 0, "votes": 8 }, { "id": 208473, "title": "Score submission error (read discussions and used emulators and nothing works)", "comment_count": 6, "views": 0, "votes": null }, { "id": 208769, "title": "SAINT's learning loss is not reduced.", "comment_count": 4, "views": 0, "votes": null }, { "id": 208922, "title": "Which features of train_data are used by the test API for scoring my model", "comment_count": 3, "views": 0, "votes": null }, { "id": 203020, "title": "How to Debug Memory usage and time consuming process", "comment_count": 14, "views": 0, "votes": 107 }, { "id": 208899, "title": "Using hyperopt with constraints", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 207808, "title": "Last Week Extra Compute Resources? :)", "comment_count": 12, "views": 0, "votes": 9 }, { "id": 208171, "title": "What are we supposed to do with lecture rows on submission??", "comment_count": 4, "views": 0, "votes": 3 }, { "id": 203053, "title": "Congratulations🎉 on reaching the title of Kaggle Expert!", "comment_count": 26, "views": 0, "votes": 24 }, { "id": 208110, "title": "[Updated]cannot load local model into notebook(GCP downloading issue)", "comment_count": 25, "views": 0, "votes": 2 }, { "id": 206279, "title": "Helpful Observations", "comment_count": 35, "views": 0, "votes": 84 }, { "id": 205199, "title": "Handy Class to Calculate Last N Stats in O(1) Time", "comment_count": 5, "views": 0, "votes": 16 }, { "id": 208765, "title": "ROC AUC compute time", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 208565, "title": "Do we have a larger memory for submission running?", "comment_count": 6, "views": 0, "votes": 1 }, { "id": 203184, "title": "Hidden features & thoughts on relevant architectures", "comment_count": 11, "views": 0, "votes": 104 }, { "id": 208470, "title": "Any last minute suggestions?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 208465, "title": "Submission time in Public v Private test set", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 208693, "title": "About the size of public validation dataset", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 208680, "title": "An error occurred checking for data source updates", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 208625, "title": "Considering Multi-targets ?", "comment_count": 1, "views": 0, "votes": null }, { "id": 208581, "title": "Rows out of order in the submission DataFrame", "comment_count": 2, "views": 0, "votes": null }, { "id": 208250, "title": "Notebook timeout", "comment_count": 5, "views": 0, "votes": null }, { "id": 208487, "title": "submission scoring error with unknown reasons", "comment_count": 4, "views": 0, "votes": null }, { "id": 207148, "title": "Conditionnal probabilities using user answers", "comment_count": 15, "views": 0, "votes": 25 }, { "id": 208027, "title": "should it be an error trace-back from Kaggle when the Submission Error happens?", "comment_count": 3, "views": 0, "votes": 3 }, { "id": 208564, "title": "Generating submission.csv manually. Am I off", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 206620, "title": "Handling tasks with multiple questions", "comment_count": 23, "views": 0, "votes": 12 }, { "id": 206488, "title": "Does the gap between CV and public LB score need to be very small?", "comment_count": 20, "views": 0, "votes": 7 }, { "id": 207388, "title": "Submission.csv not created ", "comment_count": 6, "views": 0, "votes": 1 }, { "id": 208057, "title": "About private test submission", "comment_count": 3, "views": 0, "votes": null }, { "id": 208327, "title": "Do pupils know whether they answered correctly after each question or after a batch of questions?", "comment_count": 2, "views": 0, "votes": null }, { "id": 205814, "title": "Is it possible to free CPU RAM after model.to(torch.device('cuda'))?", "comment_count": 12, "views": 0, "votes": 8 }, { "id": 208091, "title": "submission scoring error", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 207639, "title": "How to make Riiid a fair competition: Revealing private scores before the bug fixed", "comment_count": 6, "views": 0, "votes": 4 }, { "id": 207783, "title": "dump dictionary", "comment_count": 14, "views": 0, "votes": 2 }, { "id": 206434, "title": "Boosting - Reduce features to increase score", "comment_count": 33, "views": 0, "votes": 24 }, { "id": 206787, "title": "Turn off comments on notebooks: why??", "comment_count": 9, "views": 0, "votes": 11 }, { "id": 205423, "title": "Are we overfitting lb", "comment_count": 12, "views": 0, "votes": 3 }, { "id": 207594, "title": "Suggesting for New Private Dateset", "comment_count": 15, "views": 0, "votes": null }, { "id": 207480, "title": "Content_id is not a unique id", "comment_count": 3, "views": 0, "votes": 6 }, { "id": 195815, "title": "There is a bug here.", "comment_count": 67, "views": 0, "votes": 224 }, { "id": 207705, "title": "Ways to address that a random guess is of 25% chance being the correct answer", "comment_count": 1, "views": 0, "votes": 3 }, { "id": 207557, "title": "Be careful for history with only lectures!", "comment_count": 0, "views": 0, "votes": 4 }, { "id": 207127, "title": "Submission Bug-FYA-Kaggle team", "comment_count": 7, "views": 0, "votes": 9 }, { "id": 207680, "title": "external dataset meta thread", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 207280, "title": "tf.function with input_signature make my prediction x3 ~ x5 faster.", "comment_count": 0, "views": 0, "votes": 7 }, { "id": 206217, "title": "Upvoting low effort fork", "comment_count": 16, "views": 0, "votes": 29 }, { "id": 207134, "title": "Do you use Kaggle Feed? Is it helping plagiarism? ", "comment_count": 3, "views": 0, "votes": 6 }, { "id": 207636, "title": "Use a database to avoid memory burden", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 206100, "title": "LGBM Parameter Tuning", "comment_count": 22, "views": 0, "votes": 15 }, { "id": 207093, "title": "Saint Transformer Overfitting help", "comment_count": 3, "views": 0, "votes": 5 }, { "id": 207030, "title": "Adaptive Softmax", "comment_count": 0, "views": 0, "votes": 11 }, { "id": 207018, "title": "Tips on pipeline engineering for beginners", "comment_count": 0, "views": 0, "votes": 11 }, { "id": 207307, "title": "Understanding LightGBM Feature Importance", "comment_count": 0, "views": 0, "votes": 4 }, { "id": 207821, "title": "How many iterators in iter_test about hidden test set ?", "comment_count": 1, "views": 0, "votes": null }, { "id": 207773, "title": "Does early stopping work on LightGBM?", "comment_count": 1, "views": 0, "votes": null }, { "id": 207532, "title": "Questions about Garbage collection mechanism in Python", "comment_count": 2, "views": 0, "votes": null }, { "id": 207735, "title": "Findings of kaggle datasets", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 207781, "title": "looking for partners", "comment_count": 3, "views": 0, "votes": -2 }, { "id": 205515, "title": "Temporal Features Discrepancies ", "comment_count": 7, "views": 0, "votes": 10 }, { "id": 205250, "title": "To lecture or not to lecture", "comment_count": 36, "views": 0, "votes": 14 }, { "id": 207642, "title": "Test time new students", "comment_count": 1, "views": 0, "votes": null }, { "id": 207625, "title": "lectures id and timestamp. How accurate is timestamp, given the prior_question_elapsed_time? ", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 206185, "title": "Race to the finish line - SAKT/SSAKT and SAINT/SAINT+", "comment_count": 13, "views": 0, "votes": 27 }, { "id": 207559, "title": "Is your Submission very very slow?", "comment_count": 4, "views": 0, "votes": 0 }, { "id": 206719, "title": "Retired Hurt - Final thoughts before moving on", "comment_count": 4, "views": 0, "votes": 9 }, { "id": 206584, "title": "Query on position encoding (specific to Riiid as well as generic)", "comment_count": 8, "views": 0, "votes": 7 }, { "id": 207449, "title": " saint inference help", "comment_count": 7, "views": 0, "votes": null }, { "id": 207608, "title": "Data corruption", "comment_count": 0, "views": 0, "votes": -2 }, { "id": 207460, "title": "Task_container_id and data leakage.", "comment_count": 13, "views": 0, "votes": null }, { "id": 207456, "title": "How effective is ensemble now?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 206973, "title": "How to contact kaggle team to fix a problem in my account?", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 206291, "title": "What is the meaning of continuous embedding in Saint+", "comment_count": 4, "views": 0, "votes": 5 }, { "id": 207062, "title": "Sub scoring error after 9 hrs", "comment_count": 5, "views": 0, "votes": 2 }, { "id": 207050, "title": "Private Leaderboard - Submission Scoring Error ", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 207279, "title": "Maximum decimal points in `answered_correctly`?", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 207542, "title": "Does this Impacts this competition", "comment_count": 4, "views": 0, "votes": -5 }, { "id": 200232, "title": "SAINT Inference Tips (Valid for all DL models)", "comment_count": 10, "views": 0, "votes": 50 }, { "id": 206672, "title": "Same timestamp, but different task_container_id (therefore not in the same bundle)", "comment_count": 1, "views": 0, "votes": 6 }, { "id": 207090, "title": "where is detailed explanation about dataset?", "comment_count": 2, "views": 0, "votes": null }, { "id": 206999, "title": "LGB Ensemble score", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 203450, "title": "Can Brute force win this competition?", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 205633, "title": "中国的数据分析小白学习交流圈", "comment_count": 8, "views": 0, "votes": -26 }, { "id": 206618, "title": "Debugging strategy", "comment_count": 1, "views": 0, "votes": 4 }, { "id": 206538, "title": "Any clue about avoiding memory explosion?", "comment_count": 8, "views": 0, "votes": 4 }, { "id": 206644, "title": "How to deal with `NaN` in neural networks?", "comment_count": 4, "views": 0, "votes": 2 }, { "id": 207034, "title": "What would submission look like if there is memory outage", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 207047, "title": "3D convolutions for DKT", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 202369, "title": "TabNet and model explanation ", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 206882, "title": "Submision Scoring Error", "comment_count": 3, "views": 0, "votes": 0 }, { "id": 206924, "title": "Distortion of (float)data when reducing memory usage?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 206608, "title": "Please HELP, submission error!!", "comment_count": 1, "views": 0, "votes": null }, { "id": 202965, "title": "How to handle user-content-wise data efficiently?", "comment_count": 21, "views": 0, "votes": 10 }, { "id": 206373, "title": "Bug on LB results?", "comment_count": 2, "views": 0, "votes": 4 }, { "id": 206875, "title": "Debug for submission scoring error", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 205602, "title": "Current view of Leaderboard", "comment_count": 3, "views": 0, "votes": 33 }, { "id": 205212, "title": "How info of \"prior_question_had_explanation\" is collected in SANTA app?", "comment_count": 5, "views": 0, "votes": 5 }, { "id": 206042, "title": "How this competition affected my learning journey", "comment_count": 4, "views": 0, "votes": 7 }, { "id": 206098, "title": "Inconsistency with LB", "comment_count": 1, "views": 0, "votes": 5 }, { "id": 204796, "title": "Painful Submission Scoring Error!", "comment_count": 9, "views": 0, "votes": 1 }, { "id": 206623, "title": "Reduce Inference Time", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 206505, "title": "Is it possible to submit a kernel with GPU", "comment_count": 6, "views": 0, "votes": 1 }, { "id": 206310, "title": "What is LightGBM, How to implement it? How to fine-tune the parameters?", "comment_count": 1, "views": 0, "votes": -2 }, { "id": 206396, "title": "Notebook gets timeout on submission", "comment_count": 3, "views": 0, "votes": null }, { "id": 205662, "title": "Submission Scoring Error Others Reasons Explained & fix", "comment_count": 8, "views": 0, "votes": 6 }, { "id": 206663, "title": "gap between predictions from GPU / TPU", "comment_count": 5, "views": 0, "votes": 1 }, { "id": 205737, "title": "Label smoothing and post-processing", "comment_count": 2, "views": 0, "votes": 6 }, { "id": 206037, "title": "Saving all users info before starting predictions", "comment_count": 9, "views": 0, "votes": 1 }, { "id": 205750, "title": "What's wrong with roc_auc_score calcualtion??", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 195632, "title": "SAINT benchmark", "comment_count": 381, "views": 0, "votes": 107 }, { "id": 205565, "title": "Local Cv Or Public Lb whom to trust ? Am I doing something wrong here ?", "comment_count": 10, "views": 0, "votes": 3 }, { "id": 205938, "title": "Can a single batch of real api consist of only `lectures`(`content_type`==1) ?", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 205830, "title": "[Float64 mean()] = ~2 x [Float32 mean()] for 'prior_question_elapsed_time'", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 206141, "title": "Why using merge with Questions_df fails", "comment_count": 11, "views": 0, "votes": 1 }, { "id": 202729, "title": "My Current Learnings From this Competitions !", "comment_count": 7, "views": 0, "votes": 36 }, { "id": 206065, "title": "Why does \"number of iteration per second\" getting smaller as time goes?", "comment_count": 1, "views": 0, "votes": null }, { "id": 200851, "title": "Post your non LGBM Score", "comment_count": 28, "views": 0, "votes": 18 }, { "id": 201944, "title": "Query About Tags", "comment_count": 24, "views": 0, "votes": 1 }, { "id": 205799, "title": "How to combine models ? ", "comment_count": 3, "views": 0, "votes": null }, { "id": 204746, "title": "Blending Madness", "comment_count": 4, "views": 0, "votes": 21 }, { "id": 200919, "title": "User Id and TImestamp", "comment_count": 8, "views": 0, "votes": 4 }, { "id": 196009, "title": "Ditch Pandas - from 9 hours submission time to 20 minutes.", "comment_count": 21, "views": 0, "votes": 72 }, { "id": 205090, "title": "Notebook Timeout disturbs my successful submission", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 205411, "title": "can I upload my local model to notebook?", "comment_count": 2, "views": 0, "votes": null }, { "id": 205626, "title": "How to Implement SAKT with Tensorflow?", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 205016, "title": "Time's close, let's speed up your `groupby()` operation!", "comment_count": 1, "views": 0, "votes": 6 }, { "id": 205734, "title": "Dataset for KT Transformers/Seq models", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 205596, "title": "Submission Failure (running time)", "comment_count": 1, "views": 0, "votes": null }, { "id": 205708, "title": "multiclass format is not supported", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 205680, "title": "Unseen Questions In Test", "comment_count": 1, "views": 0, "votes": null }, { "id": 205432, "title": "[IMP]Do this before Submitting Your Inference Notebook to Overcome Submission Scoring Error !", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 205282, "title": "What should be the inference time ?", "comment_count": 6, "views": 0, "votes": 1 }, { "id": 202606, "title": "How to reduce the memory cost when training LGBM with large amount of features?", "comment_count": 12, "views": 0, "votes": 10 }, { "id": 205592, "title": "Submission Unable to Reach Submission Running status", "comment_count": 0, "views": 0, "votes": -2 }, { "id": 205598, "title": "DATA CLEANING", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 202090, "title": "over fitting or bug?", "comment_count": 14, "views": 0, "votes": 1 }, { "id": 205407, "title": "Is there lecture(content_type_id = False) data in test data?", "comment_count": 0, "views": 0, "votes": -1 }, { "id": 203383, "title": "How to split public and private datasets", "comment_count": 3, "views": 0, "votes": 5 }, { "id": 204867, "title": "Debugging the PyTorch transformer model", "comment_count": 3, "views": 0, "votes": 3 }, { "id": 205338, "title": "While plotting, the feature importance of categorical feature is extremely high.", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 205324, "title": "How to drop the duplicate rows from the train dataset ?", "comment_count": 2, "views": 0, "votes": null }, { "id": 205093, "title": "Sub Scoring Error using Tags ", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 205043, "title": "Suggest alternative to Merge", "comment_count": 4, "views": 0, "votes": -2 }, { "id": 192137, "title": "Any feature engineering ideas?", "comment_count": 35, "views": 0, "votes": 67 }, { "id": 202154, "title": "How to save model efficiently", "comment_count": 6, "views": 0, "votes": 2 }, { "id": 205045, "title": "Has anyone tried GPU training with LightGBM for this competition?", "comment_count": 1, "views": 0, "votes": null }, { "id": 205196, "title": "Cannot understand why `prior_explanations_avg` of current question is important", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 200715, "title": "Overfitting with the Transformers", "comment_count": 39, "views": 0, "votes": 22 }, { "id": 203076, "title": "What is the mean of prior_question_elapsed_time == 0?", "comment_count": 4, "views": 0, "votes": 5 }, { "id": 197528, "title": "Usage of elapsed time in the paper SAINT+", "comment_count": 5, "views": 0, "votes": 36 }, { "id": 204865, "title": "Are all question_id included in questions.csv?", "comment_count": 2, "views": 0, "votes": null }, { "id": 202086, "title": "Make smart features to reduce RAM usage and overfitting", "comment_count": 18, "views": 0, "votes": 31 }, { "id": 204681, "title": "Is it normal for notebook submission to take 2 hours?", "comment_count": 5, "views": 0, "votes": 1 }, { "id": 204941, "title": "Loading Features in Submission", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 202884, "title": "The cold start problem : from recommender engines to knowledge tracking", "comment_count": 8, "views": 0, "votes": 16 }, { "id": 201444, "title": "Memory Profiling in Python | Reduce your RAM Overload", "comment_count": 5, "views": 0, "votes": 49 }, { "id": 201169, "title": "Best Single Model", "comment_count": 7, "views": 0, "votes": 9 }, { "id": 203059, "title": "Is there a timestamp info missing ?", "comment_count": 1, "views": 0, "votes": 7 }, { "id": 203238, "title": "submission score error", "comment_count": 10, "views": 0, "votes": null }, { "id": 203104, "title": "The order of BatchNorm and Residual operation in Attention-based models", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 202714, "title": "Has Anyone used Time Series Based Rolling and Lags Features ?", "comment_count": 8, "views": 0, "votes": 6 }, { "id": 203449, "title": "Why no XGBoost in top kernels?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 203070, "title": "Error in Inference", "comment_count": 1, "views": 0, "votes": -1 }, { "id": 194946, "title": "Question about the submission deadline", "comment_count": 6, "views": 0, "votes": 5 }, { "id": 198245, "title": "Reduce memory spike while creating lightgbm dataset", "comment_count": 16, "views": 0, "votes": 38 }, { "id": 200661, "title": "Notebook Exceeded Allowed Compute after 2 hours of running.", "comment_count": 2, "views": 0, "votes": null }, { "id": 202976, "title": "submission error even after we got 'submission.csv'", "comment_count": 4, "views": 0, "votes": 2 }, { "id": 203543, "title": "I am new in Kaggle and need a team.", "comment_count": 1, "views": 0, "votes": null }, { "id": 203260, "title": "Add Aggregate features ", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 202637, "title": "Can duplicated user_ids exist in single batch of private test set?", "comment_count": 5, "views": 0, "votes": null }, { "id": 203411, "title": "saving data from test", "comment_count": 2, "views": 0, "votes": null }, { "id": 197280, "title": "Quick sample submission time varies ", "comment_count": 5, "views": 0, "votes": 4 }, { "id": 202344, "title": "Single Model Ensembling Guide | LightGBM Example", "comment_count": 2, "views": 0, "votes": 10 }, { "id": 202287, "title": "ROC-AUC dependence from number of previous steps", "comment_count": 7, "views": 0, "votes": 8 }, { "id": 203139, "title": "No More Submission Scoring Error", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 202296, "title": "Minor error in the data set", "comment_count": 2, "views": 0, "votes": 20 }, { "id": 203007, "title": "Is LGBM Good for Private Set ?", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 203331, "title": "api - how to use", "comment_count": 1, "views": 0, "votes": null }, { "id": 202996, "title": "General Question on Errors after Submitting Kernels", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 196921, "title": "Still confused about prior_question_elapsed_time", "comment_count": 7, "views": 0, "votes": 12 }, { "id": 203189, "title": "Query: Same user id and same timestamp in different batches ", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 203178, "title": "How to save features duct as an external file to ragnar", "comment_count": 0, "views": 0, "votes": -1 }, { "id": 203025, "title": "Using Dask and Scikit Learn to Predict, Ends up not enough RAM.", "comment_count": 1, "views": 0, "votes": null }, { "id": 201522, "title": "Feature Engineering the key to winning ", "comment_count": 9, "views": 0, "votes": 2 }, { "id": 202562, "title": "Debugging Submission Scoring Error", "comment_count": 7, "views": 0, "votes": 1 }, { "id": 192919, "title": "CV vs LB scores", "comment_count": 162, "views": 0, "votes": 89 }, { "id": 196210, "title": "API update notes", "comment_count": 81, "views": 0, "votes": 61 }, { "id": 202782, "title": "A way to debug Submission Error?", "comment_count": 2, "views": 0, "votes": null }, { "id": 196879, "title": "[Find a Bug?]`content_type_id == 0` & `timstamp == 0` but `prior_question_elapsed_time` is not NaN?", "comment_count": 3, "views": 0, "votes": 5 }, { "id": 202886, "title": "Time Series", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 202178, "title": "Running C++ in notebooks", "comment_count": 2, "views": 0, "votes": 8 }, { "id": 202665, "title": "How long does LightGBM takes to train one epoch?", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 202513, "title": "Would Pseudo-Labelling help in this competition?", "comment_count": 3, "views": 0, "votes": null }, { "id": 201442, "title": "Understanding diff between embedding in saint/sakt", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 201842, "title": "Success with Dask or Datatable? ", "comment_count": 6, "views": 0, "votes": 3 }, { "id": 201798, "title": "Transformers: Add vs Concat for Positional Embedding", "comment_count": 2, "views": 0, "votes": 10 }, { "id": 202695, "title": "Metadata for the questions posed to users", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 202376, "title": "Merge : Costly ", "comment_count": 2, "views": 0, "votes": null }, { "id": 201985, "title": "Post your GBDT cv and lb.", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 191106, "title": "Updates, corrections, and clarifications", "comment_count": 60, "views": 0, "votes": 152 }, { "id": 194184, "title": "Mapping `prior_question_*` features with their respective rows", "comment_count": 33, "views": 0, "votes": 23 }, { "id": 202541, "title": "Kaggle error", "comment_count": 1, "views": 0, "votes": null }, { "id": 202498, "title": "Kaggle Error", "comment_count": 4, "views": 0, "votes": null }, { "id": 202467, "title": "Learning path starts with questions?", "comment_count": 6, "views": 0, "votes": null }, { "id": 201687, "title": "Let‘s join Riiids ------ a summary.", "comment_count": 0, "views": 0, "votes": 17 }, { "id": 201192, "title": "Very simple tutorial!", "comment_count": 5, "views": 0, "votes": 29 }, { "id": 202530, "title": "total question asked to every user", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 202460, "title": "Training with the Full Dataset", "comment_count": 2, "views": 0, "votes": null }, { "id": 201505, "title": "Different GPU is allocated every week?", "comment_count": 9, "views": 0, "votes": 1 }, { "id": 202271, "title": "Converting data frame to numpy array ", "comment_count": 5, "views": 0, "votes": null }, { "id": 202104, "title": "Could organizers provide a larger public test set ?", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 202451, "title": "Using pretrained models ", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 192702, "title": "Order of question tags", "comment_count": 2, "views": 0, "votes": 12 }, { "id": 202124, "title": "Do you guys get a better AUC on validation set than training set", "comment_count": 1, "views": 0, "votes": null }, { "id": 200917, "title": "pandas .loc and .query vs numexpr speed comparison", "comment_count": 5, "views": 0, "votes": 8 }, { "id": 201598, "title": "question about time limit", "comment_count": 6, "views": 0, "votes": 0 }, { "id": 202312, "title": "I am interviewing for team merging", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 201993, "title": "Weird submission system behavior", "comment_count": 4, "views": 0, "votes": null }, { "id": 202076, "title": "Predicting for New user Id in Test", "comment_count": 1, "views": 0, "votes": null }, { "id": 201945, "title": "Using more than 100% of CPU", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 201928, "title": "For creating model, should features like user mean be used?", "comment_count": 3, "views": 0, "votes": null }, { "id": 201861, "title": "Which is More Robust Transformer or lgbm", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 201526, "title": "Is Submission Taking More Time ?", "comment_count": 4, "views": 0, "votes": 3 }, { "id": 202063, "title": "is this user base competition or content base?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 198069, "title": "Curious the performance about the more data", "comment_count": 20, "views": 0, "votes": 19 }, { "id": 201428, "title": " How much can we do in a \"limited\" environment?", "comment_count": 3, "views": 0, "votes": 3 }, { "id": 195949, "title": "About the position encoding in SAINT papers", "comment_count": 40, "views": 0, "votes": 16 }, { "id": 201549, "title": "Create Kaggle dataset from files in Google Colab", "comment_count": 10, "views": 0, "votes": 1 }, { "id": 201957, "title": "Quick testing new features", "comment_count": 1, "views": 0, "votes": null }, { "id": 201047, "title": "How to Monitor Submission Progress with the Kaggle CmdLine API", "comment_count": 0, "views": 0, "votes": 18 }, { "id": 200103, "title": "should I upgrade to google cloud AI notebook for this competition?", "comment_count": 10, "views": 0, "votes": 6 }, { "id": 192752, "title": "Guessing 1st place solution AUC", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 201840, "title": "`get_gcs_path` for large dataset", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 200636, "title": "Be careful when groupby task_container_id or timestamp", "comment_count": 11, "views": 0, "votes": 8 }, { "id": 201156, "title": "Submission failing", "comment_count": 6, "views": 0, "votes": null }, { "id": 188868, "title": "Finding a Team Megathread", "comment_count": 147, "views": 0, "votes": 21 }, { "id": 201684, "title": "Can split data and train data?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 201664, "title": "How do I handle a large numpy dataset with tensorflow.Dataset?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 201417, "title": "Upgrading To GCP", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 197982, "title": "I'm curious that why the computing of public score is so slow?", "comment_count": 12, "views": 0, "votes": 1 }, { "id": 199053, "title": "Is there problem with timestamp", "comment_count": 15, "views": 0, "votes": 7 }, { "id": 201121, "title": "task_container_ids in test do not follow train_df", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 200872, "title": "How to create the pkl.gzip file?", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 201445, "title": "Future responses and new users", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 201438, "title": "Tabnet in the ensemble", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 200977, "title": "Using lectures for sequence models?", "comment_count": 0, "views": 0, "votes": 4 }, { "id": 201198, "title": "Rules of competition and use of open source software", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 197840, "title": "Submission Scoring Error", "comment_count": 4, "views": 0, "votes": null }, { "id": 194266, "title": "An interesting Pattern detected for Repeated Questions", "comment_count": 61, "views": 0, "votes": 141 }, { "id": 200483, "title": "Dict+List comprehension is >10x faster than pandas filter", "comment_count": 0, "views": 0, "votes": 7 }, { "id": 196942, "title": "A few notes...", "comment_count": 41, "views": 0, "votes": 261 }, { "id": 201223, "title": "[Models] - incremental training for models", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 201185, "title": "CPU, GPU or TPU", "comment_count": 2, "views": 0, "votes": null }, { "id": 201184, "title": "How to process features?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 201164, "title": "How to use TF1.15 in the kernel", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 200868, "title": "Setting up locally on Linux with Kernel for jupyter using conda", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 201077, "title": "new user in the test set?", "comment_count": 7, "views": 0, "votes": null }, { "id": 200513, "title": "The reason the number of answers is not 25% for the 4 options", "comment_count": 0, "views": 0, "votes": 4 }, { "id": 200935, "title": "Delay of submission", "comment_count": 1, "views": 0, "votes": null }, { "id": 189351, "title": "Questions about timestamp and prior_question_elapsed_time", "comment_count": 22, "views": 0, "votes": 40 }, { "id": 200340, "title": "I want to know about the code when using the API", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 201118, "title": "How to do blending ", "comment_count": 0, "views": 0, "votes": -4 }, { "id": 200690, "title": "What to do first when Doing K Fold Cv , Folds creation or Feature Engineering ?", "comment_count": 1, "views": 0, "votes": null }, { "id": 200834, "title": "error when download dataset : ValueError: Error: Missing username in configuration.", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 191625, "title": "How is prior_question_elapsed_time calculated?", "comment_count": 6, "views": 0, "votes": null }, { "id": 200440, "title": "Questions about file imports", "comment_count": 3, "views": 0, "votes": 0 }, { "id": 194307, "title": "How to do LGBM with GPU?", "comment_count": 5, "views": 0, "votes": 7 }, { "id": 200132, "title": "SHOULD SUBMISSION CONTAIN THE COLUMN GROUP ID ???", "comment_count": 4, "views": 0, "votes": null }, { "id": 199626, "title": "Cross-validation, just for hyperparameter optimisation ? Or for training too ?", "comment_count": 4, "views": 0, "votes": 3 }, { "id": 199725, "title": "Are the question and lecture data 'personalized'?", "comment_count": 1, "views": 0, "votes": 3 }, { "id": 190828, "title": "Question about task_container_id and bundle_id", "comment_count": 8, "views": 0, "votes": 27 }, { "id": 196883, "title": "Submission errror", "comment_count": 7, "views": 0, "votes": null }, { "id": 200016, "title": "train.csv file lacking some features/columns present in the test file", "comment_count": 2, "views": 0, "votes": null }, { "id": 200122, "title": "Submission w error. No details. Looking for some help.", "comment_count": 2, "views": 0, "votes": null }, { "id": 199705, "title": "Code Requirement - please clarify", "comment_count": 4, "views": 0, "votes": null }, { "id": 198622, "title": "task_container_id: relationship to (test data) batches and (question) bundles", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 199199, "title": "How to do EDA and Auto ML on huge datasets ?", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 200080, "title": "Question about validation data", "comment_count": 1, "views": 0, "votes": null }, { "id": 199483, "title": "Overlapping lecture_id and question_id", "comment_count": 7, "views": 0, "votes": 2 }, { "id": 199972, "title": "Can I use this competition as a case study example in my book ?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 198414, "title": " Avoid timeout !!", "comment_count": 4, "views": 0, "votes": 21 }, { "id": 199764, "title": "very simple idea to save memory when dealing with time features !", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 192555, "title": "Memory Usage in Kaggle Notebook", "comment_count": 5, "views": 0, "votes": 2 }, { "id": 199235, "title": "[Data bug?] DUPLICATED `content_id` on the same user's task?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 199489, "title": "competitive with kaggle resources only", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 199309, "title": "How do you solve this error?", "comment_count": 5, "views": 0, "votes": 0 }, { "id": 198021, "title": "Neural Networks", "comment_count": 6, "views": 0, "votes": 4 }, { "id": 199533, "title": "Viewing submitted kernel runtime", "comment_count": 3, "views": 0, "votes": null }, { "id": 199558, "title": "Cross Validation & TOEIC parts test", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 190191, "title": "This is TOEIC task", "comment_count": 6, "views": 0, "votes": 27 }, { "id": 199301, "title": "Is Pyspark acceptable?", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 199292, "title": "Making visualizations", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 199266, "title": "Doing a merge of lecture and train csv ? Finding Same content id for lectures as well as questions", "comment_count": 1, "views": 0, "votes": null }, { "id": 198416, "title": "Unable to use lightgbm with GPU in kaggle kernel", "comment_count": 5, "views": 0, "votes": 3 }, { "id": 198612, "title": "Creating Partial Dependence Plots ", "comment_count": 4, "views": 0, "votes": 3 }, { "id": 197648, "title": "Why the LGBM approach?", "comment_count": 5, "views": 0, "votes": 8 }, { "id": 190249, "title": "Long time to score a submission?", "comment_count": 19, "views": 0, "votes": 19 }, { "id": 198814, "title": "Help!! i can only get four batches when predict", "comment_count": 1, "views": 0, "votes": null }, { "id": 189437, "title": "Beware of target leakage", "comment_count": 12, "views": 0, "votes": 151 }, { "id": 196066, "title": "Leaderboard issue update status", "comment_count": 10, "views": 0, "votes": 42 }, { "id": 198041, "title": "submission time", "comment_count": 2, "views": 0, "votes": null }, { "id": 198574, "title": "Very strange behaviour regarding train/test split", "comment_count": 2, "views": 0, "votes": null }, { "id": 191463, "title": "RAM usage in a kaggle notebook", "comment_count": 13, "views": 0, "votes": 5 }, { "id": 193846, "title": "Is it possible to run submission on gpu even after having used up gpu quota of the week?", "comment_count": 9, "views": 0, "votes": null }, { "id": 198062, "title": "What features would improve the Riiid model??", "comment_count": 4, "views": 0, "votes": null }, { "id": 197686, "title": "How to reduce memory after using groupby", "comment_count": 6, "views": 0, "votes": 3 }, { "id": 198360, "title": "Loading in Data from previous notebook?", "comment_count": 2, "views": 0, "votes": null }, { "id": 198434, "title": "What's the size of LB/PB hidden testset?", "comment_count": 1, "views": 0, "votes": null }, { "id": 189409, "title": "Riiid & EdNet resources", "comment_count": 5, "views": 0, "votes": 43 }, { "id": 197574, "title": "Any idea for online training?", "comment_count": 1, "views": 0, "votes": 11 }, { "id": 197349, "title": "Question tags - what information can we get out of them?", "comment_count": 6, "views": 0, "votes": 9 }, { "id": 193365, "title": "[EDA] How to Handle Outlier Students?", "comment_count": 6, "views": 0, "votes": 37 }, { "id": 188899, "title": "Assumptions about the dataset?", "comment_count": 21, "views": 0, "votes": 47 }, { "id": 190415, "title": "Will there *really* be new questions in private test set?", "comment_count": 9, "views": 0, "votes": 6 }, { "id": 197023, "title": "357x faster pandas left join", "comment_count": 6, "views": 0, "votes": 50 }, { "id": 189398, "title": "[placeholder] transformer for knowledge tracing", "comment_count": 27, "views": 0, "votes": 53 }, { "id": 198240, "title": "Same user with more than one task_container_id ?", "comment_count": 9, "views": 0, "votes": null }, { "id": 189873, "title": "I have got submission scoring error 5 times", "comment_count": 10, "views": 0, "votes": 1 }, { "id": 188901, "title": "Paper and more datasets by the organizer Riiid", "comment_count": 8, "views": 0, "votes": 33 }, { "id": 198160, "title": "Using Tuned Parameters on Larger Sample? ", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 192865, "title": "Relation between train.task_container_id , question.bundle_id and lecture.part", "comment_count": 5, "views": 0, "votes": 2 }, { "id": 197623, "title": "How to merge lectures.csv and questions.csv", "comment_count": 0, "views": 0, "votes": 4 }, { "id": 197328, "title": "pq_elapsed_time isn't null for user's first bundle", "comment_count": 4, "views": 0, "votes": 3 }, { "id": 198005, "title": "This competition limits how much memory ？", "comment_count": 3, "views": 0, "votes": null }, { "id": 197454, "title": "\"Don't forget to skip over lecture rows for the submission!\"", "comment_count": 2, "views": 0, "votes": 4 }, { "id": 197698, "title": "Kaggle Kernel CUDA memory error. ", "comment_count": 2, "views": 0, "votes": null }, { "id": 197659, "title": "❓ Why I see so little cleaning ❓ RiiiD! dataset", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 188900, "title": "Real World Problem with Competition API", "comment_count": 11, "views": 0, "votes": 54 }, { "id": 189465, "title": "Inconsistency between timestamp and task_container_id?", "comment_count": 13, "views": 0, "votes": 33 }, { "id": 197843, "title": "Think about the importance of content_id", "comment_count": 2, "views": 0, "votes": null }, { "id": 196517, "title": "Help!! Submission not working", "comment_count": 9, "views": 0, "votes": 1 }, { "id": 197276, "title": "Modelling of randomness and maximal possible roc score", "comment_count": 0, "views": 0, "votes": 4 }, { "id": 197145, "title": "Sqlite3 in Prediction Loop", "comment_count": 2, "views": 0, "votes": 4 }, { "id": 190288, "title": "Read train.csv in 10 sec", "comment_count": 54, "views": 0, "votes": 167 }, { "id": 197656, "title": "Lightgbm save_binary ", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 194335, "title": "LightGBM takes too long time", "comment_count": 11, "views": 0, "votes": 13 }, { "id": 197619, "title": "how fast is your data pipeline for NN model", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 191386, "title": "Kernel RAM size", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 197365, "title": "Can we use offline trained models for the final submission?", "comment_count": 3, "views": 0, "votes": null }, { "id": 196474, "title": "Faster than pandas.merge ?", "comment_count": 11, "views": 0, "votes": 5 }, { "id": 196730, "title": "Are the public and private dataset ordered by time?", "comment_count": 5, "views": 0, "votes": 8 }, { "id": 197364, "title": "import riiideducation on local Mac HELP", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 196987, "title": "Some findings of data preparation and modeling", "comment_count": 3, "views": 0, "votes": null }, { "id": 189895, "title": "riiideducation module import error @local machine", "comment_count": 6, "views": 0, "votes": 3 }, { "id": 197065, "title": "submission stops after 4 iterations", "comment_count": 5, "views": 0, "votes": 1 }, { "id": 188923, "title": "Time takes to show the public leader board score?", "comment_count": 6, "views": 0, "votes": 5 }, { "id": 193276, "title": "Any sequence models around there?", "comment_count": 57, "views": 0, "votes": 27 }, { "id": 190377, "title": "Failed submissions", "comment_count": 5, "views": 0, "votes": 6 }, { "id": 196214, "title": "Enquiry on questions in the train set", "comment_count": 2, "views": 0, "votes": 5 }, { "id": 196485, "title": "Do questions of submission datasets happen only after the ones in train ?", "comment_count": 0, "views": 0, "votes": 3 }, { "id": 196446, "title": "How do I create my own script?", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 196359, "title": "Submission Scoring Error in Several hours after the submission", "comment_count": 1, "views": 0, "votes": 3 }, { "id": 196374, "title": "submission error - no additional details", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 196106, "title": "submissions issues ", "comment_count": 4, "views": 0, "votes": 4 }, { "id": 196712, "title": "submission scoring error", "comment_count": 1, "views": 0, "votes": null }, { "id": 196698, "title": "ROC AUC 0.792 = 72.9% correct (with assumptions)", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 195465, "title": "Utilize Lecture In Your Model & Before Answering Question", "comment_count": 6, "views": 0, "votes": 15 }, { "id": 196209, "title": "Why isn't the data completely in order?", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 195527, "title": "New competition for Transformer?", "comment_count": 3, "views": 0, "votes": 17 }, { "id": 196402, "title": "Preparing more features but low memory reported", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 195370, "title": "Memory Issues", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 196367, "title": "Scaling data in env.predict loop", "comment_count": 2, "views": 0, "votes": null }, { "id": 195032, "title": "Which is correct? pandas or cuDF", "comment_count": 16, "views": 0, "votes": 32 }, { "id": 195389, "title": " no output files found", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 196085, "title": "how to fetch data from kaggle without downloading in google colab?", "comment_count": 6, "views": 0, "votes": null }, { "id": 193411, "title": "rapids questions", "comment_count": 3, "views": 0, "votes": 3 }, { "id": 195836, "title": "Has anyone inspected what tags mean?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 195703, "title": "Are we supposed to train RNN's?", "comment_count": 6, "views": 0, "votes": 2 }, { "id": 195780, "title": "Cannot see the preview of submissions.csv. Deadline exceeded", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 196090, "title": "Notebook Does Not Match the Display", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 196075, "title": "teammate is required", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 196267, "title": "Looking for team mates ", "comment_count": 0, "views": 0, "votes": -4 }, { "id": 195125, "title": "merge feature to test_df cost too many time", "comment_count": 4, "views": 0, "votes": 0 }, { "id": 193282, "title": "Leaderboard Tracking", "comment_count": 13, "views": 0, "votes": 12 }, { "id": 195808, "title": "how to use output from one kaggle notebook in other notebook", "comment_count": 2, "views": 0, "votes": null }, { "id": 195887, "title": "How is Roc Auc Score of 1.0 possible?", "comment_count": 2, "views": 0, "votes": null }, { "id": 194377, "title": "How much time should a successful submission take?", "comment_count": 17, "views": 0, "votes": 6 }, { "id": 195078, "title": "Datatable Help", "comment_count": 5, "views": 0, "votes": 4 }, { "id": 194141, "title": "User Learning Progress", "comment_count": 10, "views": 0, "votes": 21 }, { "id": 194264, "title": "Updating Features Using prior_group_answers_correct", "comment_count": 5, "views": 0, "votes": 3 }, { "id": 195256, "title": "How to resolve this error Exception: You can only iterate over `iter_test()` once???", "comment_count": 4, "views": 0, "votes": 3 }, { "id": 195075, "title": "Meaning of prior_q_had_exp", "comment_count": 1, "views": 0, "votes": 4 }, { "id": 195148, "title": "Guessing the private test set batch size", "comment_count": 3, "views": 0, "votes": 3 }, { "id": 194032, "title": "The next question: Is it model determined?", "comment_count": 9, "views": 0, "votes": 8 }, { "id": 195388, "title": "i am newbie, what means \" Read -1 as null, for lectures.\" ? ", "comment_count": 1, "views": 0, "votes": null }, { "id": 194397, "title": "Model Explainability", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 194022, "title": "Questions about difference score between Local & Public", "comment_count": 5, "views": 0, "votes": 3 }, { "id": 195283, "title": "Questions about submission process and scoring", "comment_count": 1, "views": 0, "votes": null }, { "id": 195275, "title": "Question about the relation between content_id and content_type_id", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 194972, "title": "Is train data chronologically sorted?", "comment_count": 3, "views": 0, "votes": null }, { "id": 195099, "title": "How to handle the unseen user_id in testset", "comment_count": 1, "views": 0, "votes": null }, { "id": 189298, "title": "Are Tags in lectures the same as in questions?", "comment_count": 12, "views": 0, "votes": 23 }, { "id": 194952, "title": "Using competition and dataset for class project", "comment_count": 4, "views": 0, "votes": null }, { "id": 194222, "title": "Notebook Timeout", "comment_count": 2, "views": 0, "votes": 5 }, { "id": 189962, "title": "Knowledge Tracing GitHub Repo. Implementaions. ", "comment_count": 2, "views": 0, "votes": 51 }, { "id": 194710, "title": "Strategy on each test set iteration?", "comment_count": 3, "views": 0, "votes": null }, { "id": 194522, "title": "Submission Scoring Error", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 194053, "title": "How do you deal with StandardScaler taking up so much memory and crashing the notebook?", "comment_count": 8, "views": 0, "votes": 2 }, { "id": 194406, "title": "Order of user interactions", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 193997, "title": "Are there 780K - 400K = 380K new users in the hidden data?", "comment_count": 4, "views": 0, "votes": 3 }, { "id": 194252, "title": "Is anybody experience this? Loading a serialized model during submission results in a failed grading.", "comment_count": 6, "views": 0, "votes": 2 }, { "id": 192825, "title": "Sequential Form", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 193898, "title": "Difference in missing data; Why?", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 194019, "title": "Allowance Calculating \"Current Elapsed Time\"", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 193933, "title": "Understanding some concepts", "comment_count": 7, "views": 0, "votes": -5 }, { "id": 193171, "title": "[Rules] Due date for sharing external dataset", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 194158, "title": "How can a single `content_id` have two `content_type_id`?", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 194104, "title": "Question on example_test.csv", "comment_count": 1, "views": 0, "votes": null }, { "id": 193688, "title": "What is the starting date of the app?", "comment_count": 1, "views": 0, "votes": 5 }, { "id": 190492, "title": "Sampling strategy?", "comment_count": 20, "views": 0, "votes": 11 }, { "id": 193993, "title": "Riiid! Education and Classroom Education: a speculation", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 194180, "title": "Submission Scoring Error", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 194159, "title": "`examle_test.csv` can be used in training a model?", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 193951, "title": "Multi tasking users? ", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 193635, "title": "The question of 10033 doesn't have tags", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 193880, "title": "does hidden test set has both new users and question?", "comment_count": 4, "views": 0, "votes": null }, { "id": 192779, "title": "Reduce submission time", "comment_count": 13, "views": 0, "votes": 7 }, { "id": 193478, "title": "Do you have to use the entire dataset to train?", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 193278, "title": "[Rules] Sharing findings based on the data with outsiders", "comment_count": 3, "views": 0, "votes": 3 }, { "id": 193113, "title": "try to allocate more more memory!", "comment_count": 3, "views": 0, "votes": 4 }, { "id": 191243, "title": "committing took 56seconds, submission took +1hours", "comment_count": 8, "views": 0, "votes": 6 }, { "id": 192839, "title": "Content IDs overlap for questions and lectures", "comment_count": 0, "views": 0, "votes": 27 }, { "id": 193341, "title": "Is There a Way to Train LightGBM using Data Table ?", "comment_count": 3, "views": 0, "votes": 3 }, { "id": 193030, "title": "Score Error Cause", "comment_count": 2, "views": 0, "votes": 5 }, { "id": 191695, "title": "Same content_id but different task_container_id for the same user_id ??", "comment_count": 4, "views": 0, "votes": 5 }, { "id": 193348, "title": "Evaluating model?", "comment_count": 6, "views": 0, "votes": null }, { "id": 192466, "title": "Are you using a TabNet?", "comment_count": 10, "views": 0, "votes": null }, { "id": 192998, "title": "No module named 'riiideducation'", "comment_count": 7, "views": 0, "votes": null }, { "id": 192986, "title": "How grouping of Test data is done?", "comment_count": 4, "views": 0, "votes": 2 }, { "id": 193114, "title": "Submission timed out, benchmark of dummy test speed", "comment_count": 4, "views": 0, "votes": null }, { "id": 192625, "title": "Why are neural networks are underperforming for this task?", "comment_count": 10, "views": 0, "votes": 8 }, { "id": 192931, "title": "Does \"Version Compare\" work correctly?", "comment_count": 0, "views": 0, "votes": 4 }, { "id": 193678, "title": "Properties of EdNet", "comment_count": 0, "views": 0, "votes": -10 }, { "id": 192968, "title": "does any one noticed accuracy is not dependent on time??", "comment_count": 3, "views": 0, "votes": null }, { "id": 192712, "title": "Best parameters for xgboost / LightGBM (resources for beginner)", "comment_count": 1, "views": 0, "votes": 7 }, { "id": 193056, "title": "List of available modules", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 192975, "title": "No output file found!", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 192983, "title": "CTR concept", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 191530, "title": "Old lecture.csv for fairness", "comment_count": 3, "views": 0, "votes": 10 }, { "id": 189849, "title": "how to use external public lib or data if no internet access enabled?", "comment_count": 3, "views": 0, "votes": null }, { "id": 192428, "title": "Sound notifications", "comment_count": 1, "views": 0, "votes": 6 }, { "id": 192723, "title": "Looking for a team", "comment_count": 4, "views": 0, "votes": null }, { "id": 190389, "title": "Question about prior_question_elapsed_time and prior_question_had_explanation", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 190791, "title": "will our submitted notebooks be re-run after the competition deadline?", "comment_count": 5, "views": 0, "votes": 7 }, { "id": 191911, "title": "Submission scoring error caused by reading in a csv file. Why?", "comment_count": 3, "views": 0, "votes": -1 }, { "id": 192828, "title": "cheat or not?", "comment_count": 9, "views": 0, "votes": null }, { "id": 192616, "title": "can we use model aggregation and cross-validation", "comment_count": 3, "views": 0, "votes": null }, { "id": 192332, "title": "multiple answers with same timestamp", "comment_count": 1, "views": 0, "votes": 4 }, { "id": 192871, "title": "does 9 hrs notebook time includes training of model?", "comment_count": 3, "views": 0, "votes": null }, { "id": 192392, "title": "How can the tempolary dimension can be considered?", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 191582, "title": "Does anyone get other errors than \"submission scoring error\"?", "comment_count": 17, "views": 0, "votes": 12 }, { "id": 191856, "title": "A possible solution to partial_fit on chunks rather than on a single batch!", "comment_count": 10, "views": 0, "votes": 8 }, { "id": 192344, "title": " You should not try to submit anything for the rows that contain lectures", "comment_count": 3, "views": 0, "votes": null }, { "id": 190270, "title": "BigQuery is our friend!", "comment_count": 18, "views": 0, "votes": 60 }, { "id": 190217, "title": "Why features that stereotype users and questions don't work?", "comment_count": 33, "views": 0, "votes": 13 }, { "id": 192167, "title": "2.5 million questions in the hidden test set", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 191626, "title": "Does a GrowNet could be useful in this competition? ", "comment_count": 3, "views": 0, "votes": 8 }, { "id": 192122, "title": "Problem with submitting with large file", "comment_count": 2, "views": 0, "votes": null }, { "id": 192463, "title": "Are you using somehow users which are both in train and test data?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 191897, "title": "Advancing from Example submissions to Actual (private hidden) submissions", "comment_count": 5, "views": 0, "votes": null }, { "id": 191019, "title": "Can we find user sessions?", "comment_count": 17, "views": 0, "votes": 14 }, { "id": 190200, "title": "Important questions regarding private test set", "comment_count": 17, "views": 0, "votes": 54 }, { "id": 191768, "title": "Meaning of negative timestamps", "comment_count": 3, "views": 0, "votes": null }, { "id": 191812, "title": "Should Answered_correctly be shifted?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 192008, "title": "Question about notebook time limits", "comment_count": 2, "views": 0, "votes": -2 }, { "id": 191528, "title": "Encounter 100% CPU usage when train on GPU, Thoughts?", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 191817, "title": "Index: Test Example Data vs. \"True\" Test Data", "comment_count": 5, "views": 0, "votes": null }, { "id": 191369, "title": "ROC AUC Evaluation Metric: worked example - what is the value?", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 190588, "title": "Questions and Lecture tags", "comment_count": 1, "views": 0, "votes": 5 }, { "id": 190748, "title": "Understanding prior_group_answers_correct and prior_group_responses columns in the test data", "comment_count": 3, "views": 0, "votes": 24 }, { "id": 191417, "title": "Submission Scoring Error", "comment_count": 3, "views": 0, "votes": null }, { "id": 191138, "title": "able to call make_env() multiple times", "comment_count": 5, "views": 0, "votes": 5 }, { "id": 190667, "title": "Verify private test dataset properties", "comment_count": 1, "views": 0, "votes": 27 }, { "id": 190354, "title": "Incremental / online learning", "comment_count": 15, "views": 0, "votes": 25 }, { "id": 191292, "title": "Are we allowed to use pre-processed train data in our submissions?", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 191191, "title": "Are you using all train data?", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 189987, "title": "Submission Scoring Error", "comment_count": 17, "views": 0, "votes": 11 }, { "id": 191018, "title": "Do we know how large private test groups are?", "comment_count": 3, "views": 0, "votes": 6 }, { "id": 191366, "title": "Can this Competition be done using Windows?", "comment_count": 4, "views": 0, "votes": -1 }, { "id": 191504, "title": "Multiple entries for same user id at a single timestamp", "comment_count": 4, "views": 0, "votes": -5 }, { "id": 190785, "title": "Error in data", "comment_count": 0, "views": 0, "votes": 12 }, { "id": 191598, "title": "Question on 'Timestamp' and 'task_container_id'", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 190625, "title": "No one using categorical features?", "comment_count": 5, "views": 0, "votes": 3 }, { "id": 191197, "title": "GETTING STARTED! Any Resources?", "comment_count": 1, "views": 0, "votes": null }, { "id": 190439, "title": "Fake API generation from train set", "comment_count": 3, "views": 0, "votes": 13 }, { "id": 190948, "title": "Request - Big Query Notebook example ", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 189902, "title": "How long will the tree survive?", "comment_count": 6, "views": 0, "votes": 47 }, { "id": 190430, "title": "Can anyone help me understand \"prior_group_answers_correct\" column in the test set?", "comment_count": 12, "views": 0, "votes": 6 }, { "id": 190951, "title": "Submission Scoring Error?", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 188970, "title": "Similar Competitions", "comment_count": 4, "views": 0, "votes": 16 }, { "id": 190698, "title": "Groups in test_iter", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 190291, "title": "How come does LGB outperform?", "comment_count": 2, "views": 0, "votes": 12 }, { "id": 189569, "title": "Which kind of features could drastically improve Riiid models ?", "comment_count": 11, "views": 0, "votes": 43 }, { "id": 191052, "title": "Number of multiple choice options in questions", "comment_count": 1, "views": 0, "votes": 0 }, { "id": 189472, "title": "The number of unique values in each column in train.csv", "comment_count": 2, "views": 0, "votes": 10 }, { "id": 191053, "title": "Lecture of type \"solving question\"", "comment_count": 1, "views": 0, "votes": null }, { "id": 191166, "title": "Where is the documentation for the .csv files?", "comment_count": 2, "views": 0, "votes": null }, { "id": 190514, "title": "Important Research Papers for Competition", "comment_count": 0, "views": 0, "votes": 5 }, { "id": 191103, "title": "Can we use Spark?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 190521, "title": "Brainstorm: possible differences between public and private test sets", "comment_count": 6, "views": 0, "votes": 3 }, { "id": 190716, "title": "Should scores with more decimal places be displayed in the leaderboard?", "comment_count": 3, "views": 0, "votes": null }, { "id": 190531, "title": "Puzzle about timestamp and its effect", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 189965, "title": "Read the dataset with in a seconds 🔥", "comment_count": 6, "views": 0, "votes": 10 }, { "id": 191024, "title": "Question about datatable", "comment_count": 1, "views": 0, "votes": null }, { "id": 190538, "title": "Is there a way to upload the entire train database?", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 190552, "title": "how lectures in training set will help?", "comment_count": 2, "views": 0, "votes": null }, { "id": 190190, "title": "There are 345225 inf in training data", "comment_count": 5, "views": 0, "votes": 3 }, { "id": 190263, "title": "Question about hidden test set", "comment_count": 0, "views": 0, "votes": 6 }, { "id": 190062, "title": "Domain knowledge from movies! (Entertainment only)", "comment_count": 3, "views": 0, "votes": 6 }, { "id": 189499, "title": "Feather files", "comment_count": 13, "views": 0, "votes": 15 }, { "id": 189669, "title": "Validation ideas to avoid leaks", "comment_count": 3, "views": 0, "votes": 4 }, { "id": 188913, "title": "How to ensure the unbiased and ethical use of the dataset?", "comment_count": 2, "views": 0, "votes": 47 }, { "id": 190154, "title": "Running Out Of Memory When Loading train.csv", "comment_count": 5, "views": 0, "votes": 2 }, { "id": 189855, "title": "Challenge of Feature Engineering on batchwise test data", "comment_count": 0, "views": 0, "votes": 13 }, { "id": 190590, "title": "Kaggle Submission Scoring Error", "comment_count": 5, "views": 0, "votes": null }, { "id": 189470, "title": "Timestamp units", "comment_count": 4, "views": 0, "votes": 3 }, { "id": 190595, "title": "MemoryError: Unable to allocate 6.03 GiB for an array with shape (8, 101230332) and data type int64", "comment_count": 3, "views": 0, "votes": null }, { "id": 190661, "title": "Big Query Clarification", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 188986, "title": "Submission bug on new Kaggle environment", "comment_count": 12, "views": 0, "votes": 6 }, { "id": 189381, "title": "Are you going to use the user_id or not?", "comment_count": 10, "views": 0, "votes": 13 }, { "id": 189555, "title": "Is feature preprocessing external data?", "comment_count": 5, "views": 0, "votes": 9 }, { "id": 190122, "title": "Restarting the kernel everytime for iter_test() too annoying.", "comment_count": 5, "views": 0, "votes": 1 }, { "id": 190238, "title": "Anyway Suggested Way to make GoogleCob to read SO type files?", "comment_count": 2, "views": 0, "votes": null }, { "id": 190120, "title": "Options to read a large csv file", "comment_count": 0, "views": 0, "votes": 3 }, { "id": 188908, "title": "[Solution found] Load entire Train data in kernel without error", "comment_count": 6, "views": 0, "votes": 14 }, { "id": 189377, "title": "Dataset: Train PKL (5s read 6GB RAM)", "comment_count": 2, "views": 0, "votes": 13 }, { "id": 190455, "title": "Does content_type_id correspond to questions and lectures?", "comment_count": 2, "views": 0, "votes": null }, { "id": 189613, "title": "Time series resources available for beginners.", "comment_count": 4, "views": 0, "votes": 8 }, { "id": 190209, "title": "what is the use of 'tags' and 'task container id ' column ??", "comment_count": 2, "views": 0, "votes": -1 }, { "id": 189890, "title": "Can someone explain the evaluation metric to me?", "comment_count": 6, "views": 0, "votes": 1 }, { "id": 190444, "title": "Questions regarding building sequences on Private test", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 189763, "title": "Timestamp format", "comment_count": 5, "views": 0, "votes": 2 }, { "id": 190133, "title": "This uid in the example test set is not found in the train set (uid=\"275030867\")", "comment_count": 3, "views": 0, "votes": null }, { "id": 189804, "title": "EdNet TFRecord dataset (sequential)", "comment_count": 0, "views": 0, "votes": 6 }, { "id": 190105, "title": "submission scoring wrong problem", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 190020, "title": "New questions in test set", "comment_count": 0, "views": 0, "votes": 3 }, { "id": 190093, "title": " What is the lecture_id corresponding to the first row data(with content_id=5692)?", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 189722, "title": "Loading whole training data in dataframe ( with notebook )", "comment_count": 1, "views": 0, "votes": 4 }, { "id": 190257, "title": "Confused on prior question. Please help!", "comment_count": 1, "views": 0, "votes": null }, { "id": 190131, "title": "How can I get this Riiid Dataset on Google Cloud Notebook so that I can train it there?", "comment_count": 3, "views": 0, "votes": null }, { "id": 189825, "title": "\"You can only call `make_env()` once\". but i am able to save and commit?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 190253, "title": "Full historical data is not available in private test", "comment_count": 0, "views": 0, "votes": -1 }, { "id": 189899, "title": "A Recurring Doubt About Code Only Competitions ! Please do clarify it !", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 190207, "title": "Submission Error. Beginner in Kaggle as well as ML.", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 189921, "title": "Possibility to use external data", "comment_count": 2, "views": 0, "votes": null }, { "id": 189870, "title": "How long does it take to score a kernel?", "comment_count": 2, "views": 0, "votes": null }, { "id": 188905, "title": "what about other data from other competitions and some datasets?", "comment_count": 4, "views": 0, "votes": 2 }, { "id": 189876, "title": "Problem loading up the data ", "comment_count": 3, "views": 0, "votes": null }, { "id": 189464, "title": "Error : Your notebook tried to allocate more memory than is available. It has restarted.", "comment_count": 4, "views": 0, "votes": null }, { "id": 188990, "title": "Official API in R", "comment_count": 2, "views": 0, "votes": 5 }, { "id": 189479, "title": "bug or leak?", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 189513, "title": "task_container_id is not monotonically increasing for each user.", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 189493, "title": "Cross-Validation: But how? Threat of information losing?", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 189065, "title": "R Starter Notebook", "comment_count": 0, "views": 0, "votes": 4 }, { "id": 189109, "title": "Unable to submit to competition", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 189321, "title": "👨‍🎓Riiid!: EDA-Baseline Model-Ensembling👨‍🎓", "comment_count": 1, "views": 0, "votes": -4 }, { "id": 189606, "title": "[Question] Is it too early to ask for a 4th digit in the leaderboard?", "comment_count": 1, "views": 0, "votes": -5 }, { "id": 189131, "title": "Kaggle Notebook Draft Session Starting", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 188962, "title": "Is it ok to use domain specific knowledge? ", "comment_count": 2, "views": 0, "votes": null }, { "id": 188976, "title": "use of competition.cpython-37m-x86_64-linux-gnu.so file", "comment_count": 1, "views": 0, "votes": null }, { "id": 189018, "title": "Indexerror in my model.fit)(", "comment_count": 5, "views": 0, "votes": null } ], "errors": [] }