Skip to main content

Table 7 Performance measures averaged over 38 users in a leave-one-out experiment. For all the metrics, except the Hamming loss, higher is better. CK is for Cohen’s Kappa score; JS is for Jaccard similarity

From: Identifying and predicting social lifestyles in people’s trajectories by neural networks

  Accuracy f1 score Precision Recall CK score JS score Hamming loss
HMM 0.18 0.11 0.14 0.13 0.10 0.18 0.82
NB 0.21 0.08 0.10 0.12 0.09 0.21 0.79
LSVM 0.32 0.23 0.25 0.24 0.23 0.32 0.68
RSVM 0.20 0.07 0.07 0.11 0.07 0.20 0.80
PSVM 0.14 0.02 0.01 0.07 0.00 0.14 0.86
SVC 0.31 0.23 0.24 0.24 0.23 0.31 0.69
CNN 0.32 0.23 0.25 0.23 0.24 0.32 0.68
RNN 0.37 0.28 0.31 0.29 0.29 0.37 0.63
LSTM 0.49 0.40 0.42 0.40 0.43 0.49 0.51
BLSTM 0.49 0.40 0.42 0.41 0.42 0.49 0.51
CLSTM 0.52 0.42 0.44 0.42 0.45 0.52 0.48
CBLSTM 0.51 0.41 0.44 0.42 0.44 0.51 0.49