Table 6.

Results of CNN classification

City	Accuracy	Precision	Recall	F1-measure
Paris	0.67	0.66	0.61	0.63
Amsterdam	0.70	0.70	0.71	0.70
Lisbon	0.73	0.73	0.71	0.72

The following formulas are used to calculate accuracy, precision, recall, and F-measure: $\text{Accuracy}=\frac{\text{TP}+\text{TN}}{\text{TP}+\text{FP}+\text{TN}+\text{FN}}$; $\text{Precision}=\frac{TP}{TP+FP}$; $\text{Recall}=\frac{TP}{TP+FN}$; $\text{F}1-\text{measure}=\frac{2\ast Precision\ast Recall}{Precision+Recall}$, where TP means the number of positive cases which are classified as positive; FP means the number of positive cases which are categorized as negative; TN means the number of negative cases which are classified as negative; FN is the number of positive cases which are categorized as negative