From: The impact of sequence length and number of sequences on promoter prediction performance
k-NN | RF | SVM | |||
---|---|---|---|---|---|
Datasets | k | ntree | mtry | C | sigma |
10-1 | 9 | 500 | 3.45 | 1 | 3.64e-03 |
10-3 | 9 | 500 | 3.59 | 0.5 | 3.05e-03 |
10-5 | 9 | 500 | 6.95 | 0.5 | 1e-02 |
10-10 | 9 | 500 | 8.03 | 2 | 1e-03 |
10-20 | 9 | 500 | 19.7 | 1 | 1e-03 |
10-30 | 9 | 500 | 4.77 | 1 | 1e-03 |
10-40 | 9 | 500 | 25.5 | 1 | 7.84e-04 |
10-50 | 9 | 500 | 55.8 | 1 | 1e-03 |
20-50 | 9 | 500 | 30.1 | 1 | 1e-03 |
30-50 | 9 | 500 | 64.4 | 0.5 | 1e-03 |
40-50 | 9 | 500 | 17.1 | 0.5 | 1e-03 |
50-50 | 7 | 500 | 72.1 | 0.5 | 1e-03 |
100-50 | 9 | 500 | 88.3 | 1 | 1e-03 |
150-50 | 9 | 500 | 102 | 0.5 | 1.96e-04 |
200-50 | 9 | 500 | 114 | 1 | 1.56e-04 |
250-50 | 9 | 500 | 125 | 1 | 1e-04 |