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Figure 2 | EPJ Data Science

Figure 2

From: Do poverty and wealth look the same the world over? A comparative study of 12 cities from five high-income countries using street images

Figure 2

Measurement performances for all city pairs. Mean absolute errors (MAE) achieved when predicting worst-off and best-off deciles by (A) income and (B) educational attainment for all source (training) and target (prediction) city pairs. Diagonal entries show results using data from a single city as described in the text. Random allocation of census tracts to deciles in the target city would result in an MAE value close to 5 (dark red), whereas perfect prediction would correspond to a MAE value of 0 (dark blue). Shades of blue depict better prediction performances compared to shades of red

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