Figure 5.

Minute-wise confusion matrix to estimate the five categories (sleep; sedentary, light, moderate, and vigorous PA) by using the optimized thresholds independently for each of the four acceleration summary measures and presenting their outputs (estimated categories) as inputs to an RF. On the right-hand side, we have the percentage of correctly vs. incorrectly matched labels for each of the five categories. Overall accuracy: 82.2%. The results refer to out-of-sample performance and were computed by using the leave-one-participant-out approach, wherein we collated all outputs in a single confusion matrix.