Fig. 5
Radial circular plots showing magnetic classifier prediction relative to ground-truth classification made by a human observer. Classifier predications are pooled relative to ground-truth classification (black triangle at top of circle, i.e., 0°), and the seven other possible classifications headings are shown on the periphery of the circle indicating the degree of error in classifier prediction (positive values indicate clockwise error; negative values indicate counter-clockwise error). The length of each gray bar extending from the center of the circle represents the number of classifications that fall within the 45° bin for that particular direction. The numbers on each dashed circle inside the plot indicate the number of observations (i.e., classification predictions) needed to reach that radius, and note that these are shown on a logarithmic scale. a Distribution of classifier predictions relative to ground-truth observations when treating each sample as an independent data point (n = 381, µ = 359°, r = 0.95, p < 1 × 10−12). b Distribution of classifier predictions relative to ground-truth observations when treating each event as an independent data point (n = 66, µ = 2°, r = 0.87, p < 1 × 10−12)