{
  "total": 169,
  "topics": [
    {
      "id": 15945,
      "title": "Welcome!",
      "comment_count": 10,
      "views": 5557,
      "votes": 12
    },
    {
      "id": 196881,
      "title": "How to apply Imputer and Transformer",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 16332,
      "title": "fun with t-sne",
      "comment_count": 1,
      "views": 707,
      "votes": 5
    },
    {
      "id": 143933,
      "title": "FILETYPE CHANGED!!??",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 116146,
      "title": "Use dataset for analysis in academic publication",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 16639,
      "title": "Naive Bayes classifier pros and cons",
      "comment_count": 2,
      "views": 2801,
      "votes": 1
    },
    {
      "id": 16665,
      "title": "SAS",
      "comment_count": 2,
      "views": 607,
      "votes": null
    },
    {
      "id": 17082,
      "title": "Work flow in big teams",
      "comment_count": 3,
      "views": 911,
      "votes": 5
    },
    {
      "id": 17086,
      "title": "Introducing Xgbfi",
      "comment_count": 8,
      "views": 3709,
      "votes": 27
    },
    {
      "id": 16876,
      "title": "How to deal with categorical data?",
      "comment_count": 8,
      "views": 2156,
      "votes": 2
    },
    {
      "id": 22221,
      "title": "Whom to send a mail in particular month?",
      "comment_count": 0,
      "views": 289,
      "votes": 0
    },
    {
      "id": 16231,
      "title": "xgoost parallelism",
      "comment_count": 7,
      "views": 3088,
      "votes": 2
    },
    {
      "id": 16316,
      "title": "Feature Scaling with XGBOOST?",
      "comment_count": 4,
      "views": 2877,
      "votes": 2
    },
    {
      "id": 16446,
      "title": "XGBoost computation time",
      "comment_count": 14,
      "views": 3040,
      "votes": 4
    },
    {
      "id": 16633,
      "title": "XGBoost loading error for python2.7 using anaconda",
      "comment_count": 6,
      "views": 3835,
      "votes": 4
    },
    {
      "id": 16627,
      "title": "Help with xgboost sklearn Randomized Grid Search",
      "comment_count": 2,
      "views": 1799,
      "votes": 2
    },
    {
      "id": 17081,
      "title": "Solution Sharing",
      "comment_count": 50,
      "views": 18736,
      "votes": 5
    },
    {
      "id": 17089,
      "title": "Beating the Benchmark ;)",
      "comment_count": 41,
      "views": 7178,
      "votes": 39
    },
    {
      "id": 17271,
      "title": "Logistic regression and Gaussian processes",
      "comment_count": 17,
      "views": 3326,
      "votes": null
    },
    {
      "id": 16853,
      "title": "Experiences from a newbie",
      "comment_count": 86,
      "views": 9445,
      "votes": 2
    },
    {
      "id": 17083,
      "title": "sharing the submission files",
      "comment_count": 16,
      "views": 2796,
      "votes": 5
    },
    {
      "id": 17073,
      "title": "Fear and Loathing",
      "comment_count": 10,
      "views": 1657,
      "votes": 10
    },
    {
      "id": 17088,
      "title": "small leak ? ",
      "comment_count": 1,
      "views": 791,
      "votes": 15
    },
    {
      "id": 17100,
      "title": "xgb.train2",
      "comment_count": 1,
      "views": 1735,
      "votes": 4
    },
    {
      "id": 17095,
      "title": "84 / 2223 = 10% ?",
      "comment_count": 2,
      "views": 783,
      "votes": 1
    },
    {
      "id": 17078,
      "title": "congratulations to the winners !!!",
      "comment_count": 0,
      "views": 731,
      "votes": 6
    },
    {
      "id": 17075,
      "title": "Thanks to All.",
      "comment_count": 1,
      "views": 506,
      "votes": 6
    },
    {
      "id": 17065,
      "title": "Simple Logistic Regression on train data i got Acc: 78.59, on LB just 59.59. can anyone tell me what might be the reasons and how to fix this issue to get 78.59 on LB?",
      "comment_count": 12,
      "views": 1355,
      "votes": 2
    },
    {
      "id": 17085,
      "title": "Does anyone leveraged VAR_0073 \"prior shift\"?",
      "comment_count": 0,
      "views": 373,
      "votes": 2
    },
    {
      "id": 17052,
      "title": "Possibility of Late Entry",
      "comment_count": 10,
      "views": 1060,
      "votes": -1
    },
    {
      "id": 17079,
      "title": "Thanks to everyone and Congrats to the winners!",
      "comment_count": 0,
      "views": 568,
      "votes": 0
    },
    {
      "id": 16951,
      "title": "Has anyone managed to break 0.8 without xgboost ?",
      "comment_count": 24,
      "views": 6112,
      "votes": 0
    },
    {
      "id": 16957,
      "title": "Without Variable Names-Hows analysis possible",
      "comment_count": 12,
      "views": 1626,
      "votes": 1
    },
    {
      "id": 17025,
      "title": "Two Stage Model help",
      "comment_count": 9,
      "views": 1953,
      "votes": 1
    },
    {
      "id": 17057,
      "title": "Same results, different evaluation",
      "comment_count": 0,
      "views": 328,
      "votes": -3
    },
    {
      "id": 16940,
      "title": "Blended sklearn classifiers, 0.7929 on LB",
      "comment_count": 2,
      "views": 1531,
      "votes": 9
    },
    {
      "id": 17029,
      "title": "Click and Submit solutions",
      "comment_count": 3,
      "views": 573,
      "votes": 2
    },
    {
      "id": 16952,
      "title": "Amazon Web Service Related Query",
      "comment_count": 10,
      "views": 1654,
      "votes": 1
    },
    {
      "id": 16364,
      "title": "Team",
      "comment_count": 2,
      "views": 857,
      "votes": null
    },
    {
      "id": 16990,
      "title": "xgboost: max_depth",
      "comment_count": 0,
      "views": 746,
      "votes": 0
    },
    {
      "id": 16981,
      "title": "What Was The Date The Data Was Generated?",
      "comment_count": 0,
      "views": 334,
      "votes": 0
    },
    {
      "id": 16973,
      "title": "First submission deadline?",
      "comment_count": 1,
      "views": 359,
      "votes": null
    },
    {
      "id": 16919,
      "title": "Looking for a teammember(s) top 10%",
      "comment_count": 4,
      "views": 1051,
      "votes": 2
    },
    {
      "id": 16926,
      "title": "Big out-of-sample AUC score difference when shuffle=True/False in stratified K fold?",
      "comment_count": 3,
      "views": 1065,
      "votes": null
    },
    {
      "id": 16963,
      "title": "New features vs fast model improvement checking",
      "comment_count": 0,
      "views": 425,
      "votes": 0
    },
    {
      "id": 16924,
      "title": "Form team?",
      "comment_count": 1,
      "views": 527,
      "votes": null
    },
    {
      "id": 16958,
      "title": "Merge - Top10%",
      "comment_count": 0,
      "views": 375,
      "votes": 0
    },
    {
      "id": 16938,
      "title": "Can SAS be used?",
      "comment_count": 3,
      "views": 698,
      "votes": -1
    },
    {
      "id": 16757,
      "title": "VAR_0493 similar words",
      "comment_count": 4,
      "views": 1100,
      "votes": null
    },
    {
      "id": 16836,
      "title": "Drastic variation between CV and LB",
      "comment_count": 17,
      "views": 1746,
      "votes": null
    },
    {
      "id": 16875,
      "title": "AUC loss v.s. logloss - XGBoost",
      "comment_count": 10,
      "views": 5097,
      "votes": 3
    },
    {
      "id": 16917,
      "title": "looking for merge",
      "comment_count": 0,
      "views": 537,
      "votes": 0
    },
    {
      "id": 16900,
      "title": "Saving sklearn Random Forest model",
      "comment_count": 6,
      "views": 2128,
      "votes": null
    },
    {
      "id": 16848,
      "title": "Save and build on xgb later",
      "comment_count": 4,
      "views": 1788,
      "votes": null
    },
    {
      "id": 16895,
      "title": "shrinkage and the conditional expected target value ",
      "comment_count": 0,
      "views": 351,
      "votes": 0
    },
    {
      "id": 16855,
      "title": "November, 2008",
      "comment_count": 1,
      "views": 589,
      "votes": null
    },
    {
      "id": 16808,
      "title": "Time window variables features",
      "comment_count": 13,
      "views": 1698,
      "votes": null
    },
    {
      "id": 16850,
      "title": "Code Quality for somebody who is \"freshers\" in R/Data Science",
      "comment_count": 4,
      "views": 876,
      "votes": null
    },
    {
      "id": 16815,
      "title": "Should the predicted target be binary too?",
      "comment_count": 4,
      "views": 664,
      "votes": null
    },
    {
      "id": 16854,
      "title": "test data set",
      "comment_count": 1,
      "views": 402,
      "votes": null
    },
    {
      "id": 16826,
      "title": "Target Average Per State",
      "comment_count": 0,
      "views": 425,
      "votes": 2
    },
    {
      "id": 16720,
      "title": "Home-made algorithms on Kaggle?",
      "comment_count": 23,
      "views": 2894,
      "votes": 8
    },
    {
      "id": 16837,
      "title": "Simple fingerprint visualization",
      "comment_count": 0,
      "views": 370,
      "votes": 0
    },
    {
      "id": 16746,
      "title": "Anyone here know C++?",
      "comment_count": 6,
      "views": 1027,
      "votes": null
    },
    {
      "id": 16236,
      "title": "Commercially Licensed products (not Open-Source)?",
      "comment_count": 2,
      "views": 922,
      "votes": null
    },
    {
      "id": 16703,
      "title": "Highly correlated features",
      "comment_count": 10,
      "views": 3850,
      "votes": 3
    },
    {
      "id": 16793,
      "title": "use logistic regression in this competition",
      "comment_count": 8,
      "views": 1217,
      "votes": null
    },
    {
      "id": 16771,
      "title": "How many features got you the highest score?",
      "comment_count": 5,
      "views": 1209,
      "votes": null
    },
    {
      "id": 16447,
      "title": "Is VAR_0490 gender?",
      "comment_count": 3,
      "views": 1219,
      "votes": 4
    },
    {
      "id": 16765,
      "title": "One hot encode python",
      "comment_count": 4,
      "views": 1136,
      "votes": null
    },
    {
      "id": 16490,
      "title": "What next? How to improve more",
      "comment_count": 59,
      "views": 12477,
      "votes": 9
    },
    {
      "id": 16721,
      "title": "Does your correlation with LB scores also look like this?",
      "comment_count": 2,
      "views": 858,
      "votes": null
    },
    {
      "id": 15953,
      "title": "I want to buy a new machine",
      "comment_count": 68,
      "views": 14386,
      "votes": 8
    },
    {
      "id": 16632,
      "title": "Online Random Forests?",
      "comment_count": 10,
      "views": 2802,
      "votes": 5
    },
    {
      "id": 16494,
      "title": "Possibly the minimum set of missing values in the Springleaf data",
      "comment_count": 1,
      "views": 833,
      "votes": 1
    },
    {
      "id": 16676,
      "title": "Good examples of Feature engineering",
      "comment_count": 4,
      "views": 4465,
      "votes": 4
    },
    {
      "id": 16714,
      "title": "The Benchmark and Scores of A Single Batch Algorithm",
      "comment_count": 0,
      "views": 558,
      "votes": 0
    },
    {
      "id": 16647,
      "title": "VAR_0254",
      "comment_count": 2,
      "views": 991,
      "votes": 2
    },
    {
      "id": 16678,
      "title": "How to impute",
      "comment_count": 7,
      "views": 1500,
      "votes": 2
    },
    {
      "id": 16320,
      "title": "Cloud vs. Local machine - Pros and Cons",
      "comment_count": 10,
      "views": 2780,
      "votes": null
    },
    {
      "id": 16677,
      "title": "Team up",
      "comment_count": 0,
      "views": 352,
      "votes": 0
    },
    {
      "id": 15948,
      "title": "Beat the benchmark with xgb",
      "comment_count": 5,
      "views": 3060,
      "votes": 10
    },
    {
      "id": 16605,
      "title": "Census places",
      "comment_count": 12,
      "views": 1449,
      "votes": null
    },
    {
      "id": 16634,
      "title": "Teammates wanted (~50th percentile)",
      "comment_count": 2,
      "views": 593,
      "votes": 2
    },
    {
      "id": 16650,
      "title": "Did stacking help anybody with XGB?",
      "comment_count": 0,
      "views": 528,
      "votes": 0
    },
    {
      "id": 16614,
      "title": "Data Leakage",
      "comment_count": 20,
      "views": 2685,
      "votes": -3
    },
    {
      "id": 16628,
      "title": "can someone tell me what this submission error means?",
      "comment_count": 3,
      "views": 493,
      "votes": null
    },
    {
      "id": 16564,
      "title": "Teammates wanted in the bottom 50th percentile",
      "comment_count": 2,
      "views": 692,
      "votes": 6
    },
    {
      "id": 16469,
      "title": "Error while making a submission",
      "comment_count": 9,
      "views": 899,
      "votes": null
    },
    {
      "id": 16068,
      "title": "VAR_0212",
      "comment_count": 11,
      "views": 3763,
      "votes": 10
    },
    {
      "id": 16613,
      "title": "Fixed effects",
      "comment_count": 4,
      "views": 863,
      "votes": null
    },
    {
      "id": 16568,
      "title": "CV vs LB scores",
      "comment_count": 13,
      "views": 2179,
      "votes": null
    },
    {
      "id": 16414,
      "title": "Springleleaf: Regularize your dummy variables!",
      "comment_count": 20,
      "views": 5419,
      "votes": 4
    },
    {
      "id": 15957,
      "title": "Is something wrong with data format ?",
      "comment_count": 7,
      "views": 2139,
      "votes": null
    },
    {
      "id": 16339,
      "title": "XGB vs Deep MLP Network",
      "comment_count": 42,
      "views": 11348,
      "votes": 4
    },
    {
      "id": 16477,
      "title": "AUC stuck at 0.63",
      "comment_count": 15,
      "views": 1810,
      "votes": 1
    },
    {
      "id": 16528,
      "title": "Gradient Boosting: min_samples_split, min_samples_leaf fitting",
      "comment_count": 9,
      "views": 2934,
      "votes": null
    },
    {
      "id": 16540,
      "title": "How say type of variables without any description?",
      "comment_count": 5,
      "views": 935,
      "votes": null
    },
    {
      "id": 16541,
      "title": "Team",
      "comment_count": 0,
      "views": 368,
      "votes": 0
    },
    {
      "id": 16458,
      "title": "Delete almost zeros features in R",
      "comment_count": 3,
      "views": 1373,
      "votes": 3
    },
    {
      "id": 16435,
      "title": "Purpose of Data Vomit",
      "comment_count": 19,
      "views": 2233,
      "votes": 5
    },
    {
      "id": 16417,
      "title": "Clarification of Rules",
      "comment_count": 19,
      "views": 2470,
      "votes": 1
    },
    {
      "id": 16473,
      "title": "Looking for teammates rank about 200th",
      "comment_count": 4,
      "views": 950,
      "votes": null
    },
    {
      "id": 16460,
      "title": "XGBoost Tuning with Caret",
      "comment_count": 2,
      "views": 1892,
      "votes": 1
    },
    {
      "id": 16461,
      "title": "Distribution of variable?",
      "comment_count": 4,
      "views": 899,
      "votes": -3
    },
    {
      "id": 16448,
      "title": "Correlation Calculation of numeric attributes",
      "comment_count": 3,
      "views": 875,
      "votes": null
    },
    {
      "id": 16413,
      "title": "Information gain and data handling",
      "comment_count": 5,
      "views": 1426,
      "votes": null
    },
    {
      "id": 16420,
      "title": "How to analyze large data set?",
      "comment_count": 1,
      "views": 832,
      "votes": 2
    },
    {
      "id": 16344,
      "title": "The point of this competition",
      "comment_count": 6,
      "views": 1336,
      "votes": 4
    },
    {
      "id": 16399,
      "title": "can we use feature_importances_  in RandomForestClassifer as a way to decide dimension reduction?",
      "comment_count": 2,
      "views": 823,
      "votes": null
    },
    {
      "id": 16423,
      "title": "Is AUC score invariant under power transformation?",
      "comment_count": 2,
      "views": 608,
      "votes": null
    },
    {
      "id": 16367,
      "title": "How to describe an xgb logistic regression simply?",
      "comment_count": 6,
      "views": 1475,
      "votes": 2
    },
    {
      "id": 16369,
      "title": "How best to deal with NA, -1 and similar entries ?",
      "comment_count": 2,
      "views": 1300,
      "votes": 4
    },
    {
      "id": 16338,
      "title": "Prediction v causation",
      "comment_count": 18,
      "views": 2253,
      "votes": 1
    },
    {
      "id": 16370,
      "title": "python xgboost segmentation fault (core dumped) error",
      "comment_count": 1,
      "views": 945,
      "votes": null
    },
    {
      "id": 16392,
      "title": "Springleaf 2-dimensional PCA",
      "comment_count": 3,
      "views": 916,
      "votes": null
    },
    {
      "id": 16385,
      "title": "Parallelize the random forest feature selection?",
      "comment_count": 0,
      "views": 506,
      "votes": 0
    },
    {
      "id": 16372,
      "title": "Existing tool for transforming / cleaning up data?",
      "comment_count": 2,
      "views": 894,
      "votes": null
    },
    {
      "id": 16283,
      "title": "XGBOOST parameters tuning",
      "comment_count": 9,
      "views": 3012,
      "votes": null
    },
    {
      "id": 16358,
      "title": "FYI - a tech note on the python lib for MacOS",
      "comment_count": 0,
      "views": 311,
      "votes": 0
    },
    {
      "id": 16301,
      "title": "Categorical Features",
      "comment_count": 8,
      "views": 1982,
      "votes": 2
    },
    {
      "id": 16299,
      "title": "N/A in the dataset",
      "comment_count": 6,
      "views": 1944,
      "votes": null
    },
    {
      "id": 16324,
      "title": "Numerical v.s. Character Columns",
      "comment_count": 2,
      "views": 675,
      "votes": 1
    },
    {
      "id": 16295,
      "title": "Optimizing logloss or AUC?",
      "comment_count": 4,
      "views": 1491,
      "votes": 2
    },
    {
      "id": 16308,
      "title": "Submission",
      "comment_count": 2,
      "views": 539,
      "votes": null
    },
    {
      "id": 15992,
      "title": "Target variable in train data set",
      "comment_count": 5,
      "views": 1495,
      "votes": -4
    },
    {
      "id": 16055,
      "title": "Evaluation example",
      "comment_count": 17,
      "views": 3598,
      "votes": null
    },
    {
      "id": 16253,
      "title": "Fast loading of data",
      "comment_count": 6,
      "views": 1198,
      "votes": null
    },
    {
      "id": 16082,
      "title": "VAR_0434 & VAR_0449",
      "comment_count": 19,
      "views": 3680,
      "votes": 15
    },
    {
      "id": 16287,
      "title": "% of response variables above 0.5",
      "comment_count": 7,
      "views": 765,
      "votes": null
    },
    {
      "id": 16270,
      "title": "Simple gbm script to beat the benchmarks",
      "comment_count": 3,
      "views": 824,
      "votes": null
    },
    {
      "id": 16051,
      "title": "how much r u overfitting with a single model?",
      "comment_count": 37,
      "views": 7198,
      "votes": 3
    },
    {
      "id": 16259,
      "title": "Fast loading of data in R",
      "comment_count": 3,
      "views": 799,
      "votes": null
    },
    {
      "id": 16244,
      "title": "Evolutionary methods for machine learning",
      "comment_count": 3,
      "views": 1231,
      "votes": null
    },
    {
      "id": 16024,
      "title": "Goal of this competition?",
      "comment_count": 16,
      "views": 3412,
      "votes": 10
    },
    {
      "id": 16069,
      "title": "External data",
      "comment_count": 12,
      "views": 1730,
      "votes": 1
    },
    {
      "id": 16189,
      "title": "How to distinguish categorical features from others?",
      "comment_count": 8,
      "views": 1690,
      "votes": 1
    },
    {
      "id": 16223,
      "title": " is VAR_0006 finite?",
      "comment_count": 1,
      "views": 601,
      "votes": 1
    },
    {
      "id": 16217,
      "title": "Just FYI - there are two missing VAR ids",
      "comment_count": 1,
      "views": 783,
      "votes": null
    },
    {
      "id": 16208,
      "title": "cut most important vars?",
      "comment_count": 1,
      "views": 899,
      "votes": null
    },
    {
      "id": 16089,
      "title": "Unable to create a Mysql table with data from train ",
      "comment_count": 3,
      "views": 869,
      "votes": null
    },
    {
      "id": 15965,
      "title": "Beat with RandomForest :) [0.73762]",
      "comment_count": 28,
      "views": 5556,
      "votes": 18
    },
    {
      "id": 16007,
      "title": "Need a teammate",
      "comment_count": 2,
      "views": 553,
      "votes": null
    },
    {
      "id": 15996,
      "title": "Usage of spotfire",
      "comment_count": 3,
      "views": 829,
      "votes": null
    },
    {
      "id": 16134,
      "title": "Keras Starter Code",
      "comment_count": 8,
      "views": 1576,
      "votes": null
    },
    {
      "id": 16135,
      "title": "XGBOOST with watchlist and nthread (in R, OS: Windows)",
      "comment_count": 2,
      "views": 1986,
      "votes": 1
    },
    {
      "id": 16067,
      "title": "VAR_0198",
      "comment_count": 2,
      "views": 1234,
      "votes": 8
    },
    {
      "id": 16141,
      "title": "XGBOOST, python wrapper questions",
      "comment_count": 2,
      "views": 1185,
      "votes": null
    },
    {
      "id": 15946,
      "title": "Beat the benchmark with gbm",
      "comment_count": 24,
      "views": 5869,
      "votes": 10
    },
    {
      "id": 16107,
      "title": "Always class '0' predicted",
      "comment_count": 5,
      "views": 915,
      "votes": null
    },
    {
      "id": 16076,
      "title": "Online vm for training models",
      "comment_count": 8,
      "views": 1612,
      "votes": 2
    },
    {
      "id": 16106,
      "title": "Lasagna Test Code",
      "comment_count": 0,
      "views": 648,
      "votes": 2
    },
    {
      "id": 16017,
      "title": "Why XGB instead of AdaBoost?",
      "comment_count": 16,
      "views": 6191,
      "votes": null
    },
    {
      "id": 16075,
      "title": "R - Convert to Date",
      "comment_count": 4,
      "views": 1178,
      "votes": null
    },
    {
      "id": 16072,
      "title": "Limits for auc in Metric Package for R",
      "comment_count": 1,
      "views": 1227,
      "votes": null
    },
    {
      "id": 16062,
      "title": "Anybody interested to team up ????",
      "comment_count": 2,
      "views": 577,
      "votes": null
    },
    {
      "id": 15999,
      "title": "Seems everyone is using xgboost?",
      "comment_count": 9,
      "views": 2358,
      "votes": 3
    },
    {
      "id": 16050,
      "title": "What's with these dates?",
      "comment_count": 1,
      "views": 872,
      "votes": null
    },
    {
      "id": 16002,
      "title": "team up?",
      "comment_count": 4,
      "views": 753,
      "votes": 1
    },
    {
      "id": 16045,
      "title": "Matlab submissions?",
      "comment_count": 0,
      "views": 356,
      "votes": 0
    },
    {
      "id": 15984,
      "title": "Need a partner to work with and get started",
      "comment_count": 3,
      "views": 653,
      "votes": null
    },
    {
      "id": 15973,
      "title": "Even quicker btb",
      "comment_count": 4,
      "views": 1223,
      "votes": 12
    },
    {
      "id": 15962,
      "title": "Features' range",
      "comment_count": 7,
      "views": 2214,
      "votes": 12
    },
    {
      "id": 16032,
      "title": "error when making a submission",
      "comment_count": 3,
      "views": 477,
      "votes": null
    },
    {
      "id": 15989,
      "title": "Send direct mail? That's easy!",
      "comment_count": 0,
      "views": 865,
      "votes": 6
    },
    {
      "id": 15979,
      "title": "Help for newbies on this one?",
      "comment_count": 2,
      "views": 959,
      "votes": 3
    },
    {
      "id": 15995,
      "title": "Scripts are enabled on this competition",
      "comment_count": 0,
      "views": 477,
      "votes": 3
    },
    {
      "id": 15998,
      "title": "team or single player",
      "comment_count": 2,
      "views": 519,
      "votes": 1
    },
    {
      "id": 15970,
      "title": "Dictionary of variables",
      "comment_count": 1,
      "views": 1368,
      "votes": -4
    }
  ],
  "errors": []
}