Requirements: Scikit-learn 0.20
This Jupyter notebook reviews and compares the performance of following classifiers on Titanic data:
- Logistic Classifier
- Stochastic Gradient Descent (SGD) Classifier
- Support Vector Machine (SVM)
- Bagging Classifier
- Extra Trees Classifier
- Random Forest Classifier
- k-Nearest Neighbors
- AdaBoost Classifier
- GradientBoosting Classifier
- Voting Classifier
It provides an accuracy of 0.80382
License: Apache License Version 2.0 software license.