Taxi Demand and Fare Prediction with Hybrid Models: Enhancing Efficiency and User Experience in City Transportation

Computer Science

• Root Mean Squared Error 100%
• User Experience 100%
• Long Short-Term Memory Network 50%
• Recurrent Neural Network 50%
• Web Application 50%
• Negative Log Likelihood 50%
• Network Density 50%
• Ensemble Learning 50%
• Application Interface 50%
• Multilayer Perceptron 50%
• Ridge Regression 50%
• Peak Performance 50%