Fig. 1 | Scientific Reports

Fig. 1

From: RNN and GNN based prediction of agricultural prices with multivariate time series and its short-term fluctuations smoothing effect

Fig. 1

The comparison of four models (StemGNN, Univariate Stacked LSTM, Multivariate Stacked LSTM, and T-GCN) across different rolling window sizes for four agricultural commodities: potato, lettuce, onion, and cucumber. The x-axis represents the rolling window sizes (\(ra_0\), \(ra_7\), \(ra_{14}\), \(ra_{21}\), and \(ra_{28}\)), while the y-axis represents the mean absolute percentage error (MAPE). The dashed lines indicate the linear trend of each model, and the values next to the lines represent the slopes of these trends. Smaller slopes indicate a bigger reduction in MAPE as the rolling window size increases.

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