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. 2020 Nov 4;51(5):2727–2739. doi: 10.1007/s10489-020-01997-6

Table 5.

Performance of GBM in the prediction of recovered and active cases in Delhi, India

Performance parameter Distribution
Gamma Quintile Poisson Laplace Huber Tweedie Gaussian
Recovered cases
  MSE 9500.73 25,376.32 533.36 23,019.17 16,594.05 1129.63 2476.93
  RMSE 97.47 159.30 23.09 151.72 128.82 33.61 49.77
  MAE 48.19 66.21 13.45 58.38 49.86 18.69 32.87
  MRD 9.14 33.11 −821.58 58.38 3717.56 1.39 2476.93
  R2 0.70 0.21 0.98 0.28 0.48 0.96 0.92
Active cases
  MSE 132,171.40 124,920.40 55,572.56 139,083.10 58,240.21 57,000.78 73,851.49
  RMSE 363.55 353.44 235.74 372.94 241.33 238.75 271.76
  MAE 243.64 230.35 117.85 201.10 151.60 139.85 160.40
  MRD 15.39 115.18 −10,037.81 201.10 31,323.97 2.65 73,851.49
  R2 0.62 0.64 0.84 0.60 0.83 0.84 0.79

Note: R2 (coefficient of determination), MSE (mean square error), RMSE (root mean square error), MAE (mean average error), and MRD (mean residual deviance)