titanic-survival-classification

Predict passenger survival using multiple machine learning models.

Problem statment and dataset could be found on Kaggle

This repo covers data cleaning, preprocessing, model training, and evaluation. Explore various algorithms like [ Logistic regression, Decision Tree Classifier, Naive Bayes, Support Vector Machine, Random Forest Classifier, Gradient Boosting Classifier, Ada Boosting Classifier ]

Evaluation of all models on data_validation

Accuracy:

F1-score, Precision and Recall

Accuracy achieved on test.csv on Kaggle