About this document
Titanic Survival Prediction with ANN by Tayssa Marques is a document available to read on EtoBox.
This document describes a study that uses an artificial neural network (ANN) and machine learning techniques to analyze Titanic passenger data and predict which passengers were likely to survive the sinking. The researchers developed an ANN model using the JustNN tool to classify passengers based on features like cabin class, age, and embarkation point. The model was trained on 891 data entries and tested on 417 entries, achieving an accuracy of over 99.28% at classifying survivors. The document provides ba
- Author
- Tayssa Marques
- Language
- EN