https://github.com/johnkou97/titanic

https://github.com/johnkou97/titanic

Last synced: 24 days ago
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• Host: GitHub
• URL: https://github.com/johnkou97/titanic
• Owner: johnkou97
• Created: 2023-07-13T20:22:06.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2023-07-18T13:06:28.000Z (over 1 year ago)
• Last Synced: 2023-07-18T15:26:10.591Z (over 1 year ago)
• Language: Python
• Size: 2.93 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Titanic Challenge - Kaggle

## Introduction

In this challenge, we will try to predict if a passenger survived or not during the Titanic disaster. The dataset is available on [Kaggle](https://www.kaggle.com/c/titanic/data). We use three different models : Logistic Regression from the scikit-learn library, XGBoost and LightGBM.

## Files

`LogReg.py` : Logistic Regression model

`XGBoost.py` : XGBoost model

`LightGBM.py` : LightGBM model

## Results

| Model | Accuracy |

| --- | --- |

| LightGBM | 0.77511 |

| XGBoost | 0.77511 |

| Logistic Regression | 0.76794 |