Figure 10From: Human mobility prediction with causal and spatial-constrained multi-task networkAnalysis of parameter sensitivity. (a) The accuracy heatmap with various \(\lambda _{t}\) and \(\lambda _{s}\). (b) The accuracy line chart with various \(\lambda _{s}\). Among these hyperparameters, CSLSL is more sensitive to \(\lambda _{c}\). Despite minor performance fluctuations, CSLSL can still effortlessly obtain an accuracy of over 0.26 on NYC and 0.24 on TKYBack to article page