Decision Tree Analysis

This project utilized Decision Tree Analysis on Kaggle’s Titanic Survival Dataset to predict passenger survival probabilities. Using features such as gender, age, and ticket class, the model achieved a training accuracy of 83.52% and a validation accuracy of 76.09% with a minimum split of 20. The analysis highlighted significant survival patterns, specifically identifying that women aged 56.5 and younger had the highest survival probability (100%), while males aged 11.5 to 22 had the lowest (0%).”