Dataset: Tabular Playground Series - Sep 2021

About this Dataset

Tabular Playground Series - Sep 2021

The dataset is used for the Tabular Playground Series competition on September 2021 is synthetic, but based on a real dataset and generated using a CTGAN. The original dataset deals with predicting whether a claim will be made on an insurance policy. Although the features are anonymized, they have properties relating to real-world features.

For the competition (https://www.kaggle.com/competitions/tabular-playground-series-sep-2021), you had to predict whether a customer made a claim upon an insurance policy. The ground truth claim is binary valued, but a prediction may be any number from 0.0 to 1.0, representing the probability of a claim. The features in this dataset have been anonymized and may contain missing values.

Tables

Sample Solution

@kaggle.lucamassaron_tabular_playground_series_sep_2021.sample_solution

2.15 MB
493474 rows
2 columns


CREATE TABLE sample_solution (
  "id" BIGINT,
  "claim" DOUBLE
);

Test

@kaggle.lucamassaron_tabular_playground_series_sep_2021.test

327.35 MB
493474 rows
119 columns


CREATE TABLE test (
  "id" BIGINT,
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Train

@kaggle.lucamassaron_tabular_playground_series_sep_2021.train

628.53 MB
957919 rows
120 columns


CREATE TABLE train (
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