Fig. 4

Data reduction experiment. a \(CC_{p}\) of five methods under different data volumes. b \(R^{2}\) of five methods under different data volumes. c RMSE of five methods under different data volumes. d \(CC_{s}\) of five methods under different data volumes. e Prediction error training on 187,056 pieces (all) of data. f Prediction error training on 11,691 pieces (1/16) of data. We perform four sets of statistical tests on the errors of the four baselines with NeRD, calculate their P values, and mark them in e and f (*\(p<1e-5\); **\(p<1e-10\); ***\(p<1e-20\))