Table 2. In-sample forecasting accuracy... | Emerald Publishing

Table 2.

In-sample forecasting accuracy

Model	MAE	MCS	RMSE	MCS
Residents
SSARIMA	27.2096	0.0	36.9795	0.0
MSARIMA	25.6556	0.0	35.1861	0.0
ANN	26.1371	0.0	35.7731	0.0
LSTM	7.1775	1.0	11.9080	1.0
RNN	26.4149	0.0	36.5010	0.0
SVM	26.0751	0.0	35.7283	0.0
Visitors
SSARIMA	26.8257	0.0	41.8671	0.0
MSSARIMA	25.3089	0.0	38.9997	0.0
ANN	25.8263	0.0	39.9966	0.0
LSTM	6.9909	1.0	12.6752	1.0
RNN	26.5301	0.0	40.5582	0.0
SVM	26.2127	0.0	40.3041	0.0

Model	MAE	MCS	RMSE	MCS
Residents
SSARIMA	27.2096	0.0	36.9795	0.0
MSARIMA	25.6556	0.0	35.1861	0.0
ANN	26.1371	0.0	35.7731	0.0
LSTM	7.1775	1.0	11.9080	1.0
RNN	26.4149	0.0	36.5010	0.0
SVM	26.0751	0.0	35.7283	0.0
Visitors
SSARIMA	26.8257	0.0	41.8671	0.0
MSSARIMA	25.3089	0.0	38.9997	0.0
ANN	25.8263	0.0	39.9966	0.0
LSTM	6.9909	1.0	12.6752	1.0
RNN	26.5301	0.0	40.5582	0.0
SVM	26.2127	0.0	40.3041	0.0

Note:

The italic numbers indicate the lowest error rate (MAE and RMSE)