The algorithm used for the prediciton of the transcoding times for this project was decison tree regression.
The algorithm was trained on a dataset of roughly 16000 entries
collected from the University of California Irvine Machinie Learning Repository. The model has an r^2 score of 0.9813526253175591.
Below are some figures depicting elements of the mode
