Table 5 The best parameters for the tested models. “States” and “Threshold” are the hidden state number and convergence threshold of the EM algorithm of the HMM. “n-gram” is the gram size in the preprocessing for the NB and SVM models, “IDF” is if to include inverse document frequency (see Sect. 4.2.2) in the preprocessing for the NB and SVM models, and “C” is the penalty parameter of the error term for the SVM models. “Embed” is the hidden node number in the embedded layer (see Sect. 4.1), “DOi” is the ith fraction of the input units to drop in the dropout layer, “Filter size” is the size of the filter in the convolution layer, “# filters” is the number of filters in the convolution layer, “# Pooling” is the number of neurons to pool in the pooling layer, “Neuron” is the hidden node number in the CNN model, and “Memory” is the memory unit number of the LSTM

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