titanic: Titanic

In mlr3data: Collection of Machine Learning Data Sets for 'mlr3'

Titanic

Description

Classification data to predict the fate of passengers on the ocean liner "Titanic". Contains 10 features and 1309 observations. Target column is "Survived".

Pre-processing

• All column names have been changed to snake_case.

• training and test set have been joined. Observations of the test set have a missing value in the target column "survived".

• Column '"survived"' has been re-encoded to a factor with levels '"yes"' and '"no"'.

• Id column has been removed.

• Passenger class "pclass" has been converted to an ordered factor.

• Features "sex" and "embarked" have been converted to factors.

• Empty strings in "cabin" and "embarked" have been encoded as missing values.

Source

titanic and https://www.kaggle.com/c/titanic/data

Examples

data("titanic", package = "mlr3data")
str(titanic)

mlr3data documentation built on July 9, 2023, 7:29 p.m.