Calculate survival probability based on passenger details
Launch web-based model application
Search for model performance across languages and benchmarks
Browse and submit LLM evaluations
Convert and upload model files for Stable Diffusion
Track, rank and evaluate open LLMs and chatbots
Generate leaderboard comparing DNA models
Generate and view leaderboard for LLM evaluations
Explore GenAI model efficiency on ML.ENERGY leaderboard
Calculate VRAM requirements for LLM models
Quantize a model for faster inference
View and submit LLM evaluations
Analyze model errors with interactive pages
Titanic Survival in Real Time is a cutting-edge tool designed to analyze and predict survival probabilities for passengers aboard the RMS Titanic based on their personal details. This application leverages advanced machine learning models to simulate real-time survival predictions, making it an invaluable resource for researchers, historians, and enthusiasts interested in the Titanic's tragic history.
What models does Titanic Survival in Real Time use?
The app employs a variety of machine learning models, including decision trees, random forests, and neural networks, to ensure accurate and robust predictions.
How accurate are the survival predictions?
Accuracy depends on the quality of input data and the specific model used. The tool provides confidence intervals to indicate prediction reliability.
Can I use this tool for educational purposes?
Yes, Titanic Survival in Real Time is an excellent educational resource for teaching machine learning concepts and historical analysis.