license:cc0-1.0 size_categories:1K<n<10K format:parquet modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
license: cc0-1.0
dataset_info:
  features:
  - name: survived
    dtype: bool
  - name: name
    dtype: string
  - name: age
    dtype: float64
  - name: sibsp
    dtype: uint8
  - name: parch
    dtype: uint8
  - name: ticket
    dtype: string
  - name: fare
    dtype: float64
  - name: cabin
    dtype: string
  - name: log_fare
    dtype: float64
  - name: pclass_1
    dtype: bool
  - name: pclass_2
    dtype: bool
  - name: pclass_3
    dtype: bool
  - name: sex_female
    dtype: bool
  - name: sex_male
    dtype: bool
  - name: embarked_C
    dtype: bool
  - name: embarked_Q
    dtype: bool
  - name: embarked_S
    dtype: bool
  splits:
  - name: train
    num_bytes: 86282.71810542399
    num_examples: 1047
  - name: validation
    num_bytes: 10795.640947288006
    num_examples: 131
  - name: test
    num_bytes: 10795.640947288006
    num_examples: 131
  download_size: 77707
  dataset_size: 107874.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
---

A cleaned, feature engineered, and split version of the classic Titanic survival dataset from OpenML. See https://github.com/jamieoliver/titanic-dataset-2410 for more details.

Based on https://github.com/fastai/course22/blob/master/clean/05-linear-model-and-neural-net-from-scratch.ipynb using the dataset from using the dataset from https://www.openml.org/search?type=data&sort=runs&id=40945&status=active.
