From: RILS-ROLS: robust symbolic regression via iterated local search and ordinary least squares
Instance | Sample size 0.0001 | Sample size 0.001 | Sample size 0.01 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
\(R^2\) | RMSE | Size | t[s] | \(R^2\) | RMSE | Size | t[s] | \(R^2\) | RMSE | Size | t[s] | |
large1 | 1 | 0.0019 | 31 | 2904.3 | 1 | 0.0019 | 31 | 7312.1 | 1 | 0.0019 | 31 | 57282.9 |
large2 | 0.9165 | 0.9918 | 88 | 5383 | 0.9759 | 0.5329 | 65 | 10664.7 | 0.9588 | 0.6968 | 62 | 79454.5 |
large3 | 0.8473 | 1.3414 | 75 | 5640.3 | 0.9588 | 0.6969 | 62 | 10513.7 | 0.9533 | 0.7415 | 72 | 78778.4 |
large4 | 0.6506 | 2.0288 | 62 | 6154.8 | 0.7628 | 1.6717 | 50 | 10115.2 | 0.7714 | 1.6412 | 54 | 66820.5 |
large4’ | 0.592 | 2.1924 | 50 | 5613.1 | 0.7638 | 1.668 | 50 | 10291.8 | 0.7721 | 1.6384 | 57 | 66682.8 |