titanic {mlr3data}

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)