The test set from "Titanic - Machine Learning from Disaster" doesn't include labels.

This is an augmented version of the test set with the correct labels, retrieved from the original Titanic dataset at: https://www.openml.org/search?type=data&sort=runs&id=40945&status=active

The accuracy of the labels was validated by getting a 1.0 score in the competition with them.

This dataset is provided for educational purposes, and is not intended to help people cheat in the competition. If the only reason you want to download this is so you can get a shiny 1.0 on the leaderboards, don't do it.

The Titanic dataset on Kaggle is a well-known dataset used for machine learning and data science projects, especially for binary classification tasks. It includes data on the passengers of the Titanic, which sank on its maiden voyage in 1912. This dataset is often used to predict the likelihood of a passenger's survival based on various features. Here is a detailed description of the dataset:

Overview The Titanic dataset includes information about the passengers on the Titanic, such as their demographic information, class, fare, and whether they survived the disaster. The goal is to predict the survival of the passengers.

Files The dataset typically includes three files:

train.csv: The training set, which includes the features and the target variable (Survived). test.csv: The test set, which includes the features but not the target variable. You use this file to make predictions that can be submitted to Kaggle. gender_submission.csv: An example of a submission file in the correct format. Features The dataset contains the following columns:

PassengerId: Unique ID for each passenger. Survived: Target variable (0 = No, 1 = Yes) indicating if the passenger survived. Pclass: Ticket class (1 = 1st, 2 = 2nd, 3 = 3rd). Name: Name of the passenger. Sex: Gender of the passenger (male or female). Age: Age of the passenger in years. Fractional values indicate age in months for infants. SibSp: Number of siblings or spouses aboard the Titanic. Parch: Number of parents or children aboard the Titanic. Ticket: Ticket number. Fare: Passenger fare. Cabin: Cabin number. Embarked: Port of embarkation (C = Cherbourg, Q = Queenstown, S = Southampton).

1) Data Introduction • Based on passenger information from the Titanic, which sank in 1912, the Titanic Dataset is a representative binary classification data that includes various demographics and boarding information such as Survived, Passengers Class, Name, Sex, Age, SibSp, Parch, Ticket, Fare, Cabin, and Embarked.

2) Data Utilization (1) Titanic Dataset has characteristics that: • It consists of a total of 891 training samples and 12 to 15 columns (numerical and categorical mix) and also includes variables such as Age, Cabin, and Embarked with some missing values, making it suitable for preprocessing and feature engineering practice. (2) Titanic Dataset can be used to: • Development of survival prediction models: Key characteristics such as passenger rating, gender, age, and fare can be used to predict survival with different machine learning classification models such as logistic regression, random forest, and SVM. • Analysis of survival influencing factors: By analyzing the correlation between variables such as gender, age, socioeconomic status, and survival rates, you can statistically and visually explore which groups have a higher survival probability.

BrianSuToronto/titanic-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community

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'.

To use this dataset:

import tensorflow_datasets as tfds

ds = tfds.load('titanic', split='train')
for ex in ds.take(4):
 print(ex)

See the guide for more informations on tensorflow_datasets.

This dataset is a modified version of the original train.csv file provided for the Kaggle Titanic Competition. Missing passenger ages have been imputed using randomly generated values within a reasonable range. While these values may not reflect the actual ages, they facilitate a more structured classification of passengers into categories such as children and adults.

The imputation process was based on the following assumptions:

1. Passengers with 0 Parch (no parents or children aboard) were classified as adults, with their ages randomly assigned between 21 and 80, reflecting the Age of Majority at the time (21 years).
2. Passengers with 4 or more siblings/spouses (SibSp ≥ 4) were likely children (under 21).
3. Passengers with "Miss." in their name were assumed to be children. While this may not always be accurate, it provided a simple classification method.
4. Passengers with "Mr." in their name were assumed to be adults.
5. Passengers with "Master." in their name were assumed to be children.
6. Passengers with "Mrs." in their name were assumed to be married and, therefore, likely adults. The imputation process was carried out in the following order: 1 → 2 → (3, 4, 5, 6 applied together).

It is important to note that while honorifics such as Mr., Miss., Mrs., and Master. were historically used with some flexibility, this dataset (Version 1) assumes a strict age classification based on a legal age of adulthood set at 21.

Version 2 Modifications:

The title "Master." was assumed to refer to males aged 0 to 16. The title "Mr." was assumed to refer to males aged 17 and above. These modifications aim to provide a structured approach to handling missing age data while maintaining reasonable historical assumptions.

Analysis of ‘Titanic dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/ibrahimelsayed182/titanic-dataset on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Overview

This is Titanic dataset

Data Dictionary

--- Original source retains full ownership of the source dataset ---

kkovacs/titanic dataset hosted on Hugging Face and contributed by the HF Datasets community

rahuketu86/Titanic dataset hosted on Hugging Face and contributed by the HF Datasets community

ankislyakov/titanic dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset

This dataset was created by Emmanuel Appiah-Kubi

Released under CC0: Public Domain

Contents

alejandro-aldeguer-lopez/titanic dataset hosted on Hugging Face and contributed by the HF Datasets community

Analysis of ‘Titanic Dataset Analysis’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/cities/titanic123 on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

There's a story behind every dataset and here's your opportunity to share yours.

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

--- Original source retains full ownership of the source dataset ---

Titanic dataset

Dataset

This dataset was created by victor ushie

Contents

Titanic dataset for classification training.

DEATH RECORD'S OF RMS TITANIC INCIDENT

The Titanic was a British luxury ocean liner that sank on April 15, 1912, after striking an iceberg during its maiden voyage from Southampton, England, to New York City.

  Dataset Description

Curated by: [XythicK] Funded by [optional]: [XythicK/Alchemist] Shared by [optional]: [People] Language(s) (NLP): [English] License: [All rights reserved to Official Titanic Website]

  Dataset Sources [optional]

Repository:… See the full description on the dataset page: https://huggingface.co/datasets/XythicK/Titanic.

Dataset

This dataset was created by fehu.zone

Contents

Soumik555/titanic-qa-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community