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Table 1 Performance (R2) comparison among various algorithms for training and test sets

From: Prediction of the number of asthma patients using environmental factors based on deep learning algorithms

Model

Training

Test

Gap (Training–Test)

Outpatients

ER patients

Outpatients

ER patients

Outpatients

ER patients

GLM

0.870

0.792

0.672

0.637

0.198

0.155

GAM

0.943

0.888

0.706

0.631

0.237

0.257

RF

0.857

0.508

0.540

-0.321

0.317

0.829

GBM

0.957

0.907

0.583

-0.128

0.374

1.035

RNN

0.894

0.803

0.625

0.606

0.269

0.197

LSTM

0.886

0.861

0.723

0.650

0.163

0.211

GRU

0.905

0.827

0.673

0.651

0.232

0.176