Table 1.

Accuracy from five-fold cross-validation of the neural network on different datasets with different number of neighbor residues.

Identity cutoff	N = 10	N = 15	N = 20	N = 25	N = 30
30%	0.329 (0.001)*	0.340 (0.005)	0.333 (0.009)	0.331 (0.006)	0.321 (0.015)
50%	0.353 (0.003)	0.364 (0.005)	0.358 (0.005)	0.359 (0.006)	0.342 (0.007)
90%	0.367 (0.001)	0.383 (0.004)	0.382 (0.006)	0.379 (0.007)	0.352 (0.013)

^*Numbers in parentheses are standard deviations.