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.structured.Titanic

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

• Feature documentation:

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