FLIGHT DELAY PREDICTION - Machine Learningcs229.stanford.edu/proj2016/poster/... · Terrorist...
Transcript of FLIGHT DELAY PREDICTION - Machine Learningcs229.stanford.edu/proj2016/poster/... · Terrorist...
PROJECT PRESENTATION
FLIGHT DELAY PREDICTION
EXPLORATORY DATA ANALYSIS
FEATURES RESULTS
ANALYSISRANDOM FOREST
FEATURE ENGINEERING
FEATURE ANALYSIS OPTIMIZATION OF THE RANDOM FOREST
GAUSSIAN NAIVE BAYES
- Model:
- Training:
- Model:
- Training:
DATASETS: our main dataset includes every domestic flight from 2001 to 2008, with scheduled times, actual times, airpo-rts (depature/arrival), delay (if any) and cause of delay, plane identifier
LOGISTIC REGRESSION
NEURAL NETWORK
ALGORITHMS
GOAL : to predict if a flight will be delayed at arrival or notCHALLENGES : - hard to train a model to capture the delay of previous flights- imbalanced dataset between delayed and non delayed exa-mples
NEXT STEPS: - Improve the Neural Network (better shape)- Increase size of the sample of training examples with data from other years- Add new features to capture non linearity (we still have no overfitting)
- Weights for the logistic re-gression on normalized fea-tures-Several features of force memory are present
F1-score vs max_depth F1-score vs min_samples