titanic

• Description:

Dataset describing the survival status of individual passengers on the Titanic. Missing values in the original dataset are represented using ?. Float and int missing values are replaced with -1, string missing values are replaced with 'Unknown'.

• Homepage: https://www.openml.org/d/40945

• Source code: tfds.datasets.titanic.Builder

• Versions:

  • 2.0.0: New split API (https://tensorflow.org/datasets/splits)
  • 3.0.0: Use a standard flat dictionary of features for the dataset. Use as_supervised=True to split the dataset into a (features_dict, survived) tuple.
  • 4.0.0 (default): Fix inverted labels which were inverted in the 3.0.0.

• Download size: 114.98 KiB

• Dataset size: 382.58 KiB

• Auto-cached (documentation): Yes

• Splits:

• Feature structure:

FeaturesDict({
    'age': float32,
    'boat': string,
    'body': int32,
    'cabin': string,
    'embarked': ClassLabel(shape=(), dtype=int64, num_classes=4),
    'fare': float32,
    'home.dest': string,
    'name': string,
    'parch': int32,
    'pclass': ClassLabel(shape=(), dtype=int64, num_classes=3),
    'sex': ClassLabel(shape=(), dtype=int64, num_classes=2),
    'sibsp': int32,
    'survived': ClassLabel(shape=(), dtype=int64, num_classes=2),
    'ticket': string,
})

• Feature documentation:

• Supervised keys (See as_supervised doc): ({'age': 'age', 'boat': 'boat', 'body': 'body', 'cabin': 'cabin', 'embarked': 'embarked', 'fare': 'fare', 'home.dest': 'home.dest', 'name': 'name', 'parch': 'parch', 'pclass': 'pclass', 'sex': 'sex', 'sibsp': 'sibsp', 'ticket': 'ticket'}, 'survived')

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@ONLINE {titanic,
author = "Frank E. Harrell Jr., Thomas Cason",
title  = "Titanic dataset",
month  = "oct",
year   = "2017",
url    = "https://www.openml.org/d/40945"
}