Studying Accuracy of Machine Learning Models Trained on Lab Lifting Data in Solving Real-World Problems Using Wearable Sensors for Workplace Safety

The evaluation data was randomly sampled using K-fold Cross Validation. The model trained was able to reliably identify lifting and non-lifting events from data gathered under the same conditions as its training I.