cla_train: cla_train
In ssi-ashraf/superml: Build Machine Learning Models Like Using Python's Scikit-Learn Library in R
Description
Usage
Format
Source
Description
Training Dataset used for classification examples. This is classic titanic dataset used to predict
if a passenger will survive or not in titanic ship disaster.
Usage
1
Format
A data frame with 12 variables:
PassengerIdunique ID of the passenger
Survivedsurvival of the passenger
Pclassticket class
Namename of the passenger
Sexsex of the passenger
AgeAge of the passenger
SibSpnumber of siblings/spouse aboard the titanic
Parchnumber of parents / child aboard the titanic
Ticketticket number
Farepassenger fare
Cabincabin number
Embarkedport of embarkation
Source
https://www.kaggle.com/c/titanic/data
ssi-ashraf/superml documentation built on Nov. 5, 2019, 9:18 a.m.
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Description Usage Format Source
Description
Training Dataset used for classification examples. This is classic titanic dataset used to predict if a passenger will survive or not in titanic ship disaster.
Usage
1 |
Format
A data frame with 12 variables:
PassengerIdunique ID of the passenger
Survivedsurvival of the passenger
Pclassticket class
Namename of the passenger
Sexsex of the passenger
AgeAge of the passenger
SibSpnumber of siblings/spouse aboard the titanic
Parchnumber of parents / child aboard the titanic
Ticketticket number
Farepassenger fare
Cabincabin number
Embarkedport of embarkation
Source
https://www.kaggle.com/c/titanic/data
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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