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. 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