Table 1 The results of the best models evaluated on COVID-19 dataset (January 22, 2020 to March 29, 2020)
From: Predicting the incidence of COVID-19 using data mining
Maximum number of confirmed cases in a day | Number of Neighbors | Interval of days [min, max] | MSE | MAE | |||
|---|---|---|---|---|---|---|---|
Value | Percent | Value | Percent | ||||
< 200 | Train | – | [14,34] | 1.86 | 0.005% | 0.52 | 0.29% |
Test | 407.47 | 1.04% | 9.12 | 4.71% | |||
[200,1000) | Train | 9 | [14, 20] | 1.71 | 0.002% | 0.62 | 0.07% |
Test | 1.59e+ 04 | 1.87% | 79.01 | 8.54% | |||
≥1000 | Train | 2 | [14, 17] | 140.62 | 0.00003% | 5.89 | 0.03% |
Test | 7.14e+ 06 | 1.79% | 1.2e+ 03 | 6.13% | |||