/kaggle_titanic

Predicting Titanic survival probability using several classification models

Primary LanguagePythonMIT LicenseMIT

kaggle_titanic

Predicting Titanic survival probability using several classification models

This repository contains 7 different classification models for predicting survival proability of Titanic's passengers. The models were built using Python 3.6.1 on Ubuntu 16.04.

Models included:

  1. Kernel SVM: Accuracy = 72.19%

  2. K-Nearest Neighbors (K-NN): Accuracy = 74.88%

  3. Decision Tree Classification: Accuracy = 76.23%

  4. Naive Bayes: Accuracy = 78.02%

  5. Support Vector Machine: Accuracy = 78.02%

  6. Logistic Regression: Accuracy = 78.92%

  7. Random Forest Classification: Accuracy = 83.85%