Table 5 Percentage of results where the true molecule was ranked among the top three candidates using the meta-learning method
From: Probabilistic metabolite annotation using retention time prediction and meta-learned projections
CM No. training points | 10 | 20 | 30 | 40 | 50 |
|---|---|---|---|---|---|
FEM long | \(71.07\pm 5.11\) | \(72.75\pm 4.40\) | \(74.42\pm 5.29\) | \(75.27\pm 2.25\) | \(76.10\pm 2.92\) |
\((59.57 \pm 6.73)\) | |||||
FEM orb. | \(64.96\pm 10.96\) | \(67.13\pm 10.04\) | \(65.25\pm 8.41\) | \(63.06\pm 9.07\) | \(67.04\pm 9.40\) |
\((53.57\pm 7.66)\) | |||||
LIFE old | \(62.99\pm 5.21\) | \(61.38\pm 5.13\) | \(60.50\pm 6.68\) | \(58.57\pm 4.83\) | \(59.86\pm 3.36\) |
\((51.44\pm 7.26)\) | |||||
RIKEN | \(72.89\pm 8.59\) | \(73.21\pm 4.37\) | \(74.44\pm 4.17\) | \(77.61\pm 4.04\) | \(75.73\pm 3.81\) |
\((53.62\pm 5.77)\) |