Random Forest

Classification algorithm, using Supervised Learning.

Benefits :

1. No overfitting
2. Training time is less
3. Runs efficiently
4. For large databases, it produces highly accurate predictions
5. Random Forest can maintain accuracy when a large proportion of data is missing.