Question 5. Mapping fire activity is an important problem for supporting climate and carbon cycle studies as well as forest management. Automated approaches to address this problem use reflectance data collected from satellites orbiting the Earth to learn a classifier that can differentiate burnt areas on the ground from the unburned ones. The algorithms output a probability of fire activity for each pixel on the day the satellite imagery was taken. The classification algorithm needs to be trained to recognize the signatures of burned pixels (and how they are different from non-burned ones). Typically, there is a huge imbalance in the number of fire pixels (