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:

Split	Examples
'train'	1,309

• 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:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
age	Tensor		float32
boat	Tensor		string
body	Tensor		int32
cabin	Tensor		string
embarked	ClassLabel		int64
fare	Tensor		float32
home.dest	Tensor		string
name	Tensor		string
parch	Tensor		int32
pclass	ClassLabel		int64
sex	ClassLabel		int64
sibsp	Tensor		int32
survived	ClassLabel		int64
ticket	Tensor		string

• 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"
}