The first experiment involves using tiles that the GeoCDX sysem identified as being high change tiles.
Using these high change tiles, each of the four classifiers will be trained with the data corresponding to a
fixed percentage of tiles. While the selected tiles are all high-change tiles, not all of the change captured
by them is necessarily relevant change. We produced three different datasets with high change tiles; they
include the highest ranked 5%, 15% and 25% of the dataset. Table 3 shows the chosen percentages and
the corresponding number of tiles used from each pair.