One thing that people regularly do is quantify how much of a particular activity they do, but they rarely quantify how well they do it.
In this project will use data from accelerometers on the belt, forearm, arm and dumbell of 6 participants.
They were asked to perform barbell lifts correctly and incorrectly in 5 different ways.
The goal of the project is to predict the manner in which they did the exercise. This is the "classe" variable in the data set: A - E
- exactly according to the specification (Class A),
- throwing the elbows to the front (Class B),
- lifting the dumbbell only halfway (Class C),
- lowering the dumbbell only halfway (Class D)
- throwing the hips to the front (Class E).
This report describes how I built the model, how I used cross validation, what I think the expected out of sample error is, and why I made the choices I did.