Table 7 Compare the error evaluation indexes of different base learners and Stacking integrated models on the AID dataset and pulmonary tuberculosis dataset.

From: Analysis and prediction of infectious diseases based on spatial visualization and machine learning

Algorithm

AID

PTB

MAE

RMSE

MAPE

MAE

RMSE

MAPE

ARIMA

0.364

0.380

0.183

0.203

0.265

0.101

ELM

0.420

0.519

0.200

0.221

0.243

0.253

SVR

0.310

0.391

0.180

0.341

0.375

0.393

Wavelet

0.402

0.455

0.251

0.333

0.356

0.286

RNN

0.495

0.609

0.257

0.320

0.236

0.233

SGDM-LSTM

0.453

0.537

0.208

0.323

0.228

0.231

Adam-LSTM

0.482

0.594

0.220

0.354

0.252

0.248

RMSProp-LSTM

0.328

0.405

0.179

0.317

0.235

0.230

Stacking

0.210

0.261

0.161

0.185

0.195

0.082

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