  We studied the predictive power of daily animal sightings on site work
outcomes at the Polarbear and Simons Array experiment site in the Atacama
Desert, Chile. Specifically, we observed the number of viscacha and vicuna
sightings during a two-month period, totaling 31 observation days, and analyzed
their relationship with site work outcomes using machine learning techniques.
Our results show that there was no significant correlation between the number
of animal sightings and site work outcomes. The feather importance score for
viscacha and vicuna were 0.71068 and 0.057762, respectively. Future research
may include expanding the analysis to include other animal species,
investigating the impact of human activity on site work outcomes, and exploring
alternative machine learning models or statistical techniques.
